Relevant bibliographies by topics / Morphometric features

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Academic literature on the topic 'Morphometric features'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 June 2025

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Journal articles on the topic "Morphometric features"

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Bermes, Andrii. "Morphometric relief features of Kremenets Mountains." Visnyk of the Lviv University. Series Geography, no. 49 (December 30, 2015): 3–13. http://dx.doi.org/10.30970/vgg.2015.49.8509.

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Geomorphological structure and morphometric features of Kremenets Mountains are determined. The differences in geomorphic structure, morphometric parameters of individual sections of the study area are highlighted. The opportunity of the modelling of morphometric parameters using GIS technologies is considered. Certain regularities in the distribution of morphometric parameters on investigated area are revealed. Morphometric data processing and the construction of a series of morphometric maps using GIS-analysis and spatial modelling for Kremenets Mountains are done. A number of basic morphometric maps of the territory of Kremenets Mountains are constructed, namely horizontal and vertical partitioning of the territory, steepness of slopes and slope exposure. Based on the constructed maps certain regularities of geomorphological features of the territory of Kremenets Mountains, morphological features of the relief components are detected. The value of morphometric parameters could be used in complex morphogenetic analysis of the area of study. Key words: Kremenets Mountains, morphometric analysis, morphometric parameters, watershed, relict hills, GIS (geographic information systems), digital elevation models, horizontal partitioning, vertical partitioning, slopes, slope exposure.
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Mukherjee, Rashmi. "Morphometric Evaluation of Preeclamptic Placenta Using Light Microscopic Images." BioMed Research International 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/293690.

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Deficient trophoblast invasion and anomalies in placental development generally lead to preeclampsia (PE) but the inter-relationship between placental function and morphology in PE still remains unknown. The aim of this study was to evaluate the morphometric features of placental villi and capillaries in preeclamptic and normal placentae. The study included light microscopic images of placental tissue sections of 40 preeclamptic and 35 normotensive pregnant women. Preprocessing and segmentation of these images were performed to characterize the villi and capillaries. Fisher’s linear discriminant analysis (FLDA), hierarchical cluster analysis (HCA), and principal component analysis (PCA) were applied to identify the most significant placental (morphometric) features from microscopic images. A total of 10 morphometric features were extracted, of which the villous parameters were significantly altered in PE. FLDA identified 5 highly significant morphometric features (>90% overall discrimination accuracy). Two large subclusters were clearly visible in HCA based dendrogram. PCA returned three most significant principal components cumulatively explaining 98.4% of the total variance based on these 5 significant features. Hence, quantitative microscopic evaluation revealed that placental morphometry plays an important role in characterizing PE, where the villous is the major component that is affected.
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Uabundit, Nongnut, Arada Chaiyamoon, Sitthichai Iamsaard, et al. "Classification and Morphometric Features of Pterion in Thai Population with Potential Sex Prediction." Medicina 57, no. 11 (2021): 1282. http://dx.doi.org/10.3390/medicina57111282.

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Background and Objectives: The landmark for neurosurgical approaches to access brain lesion is the pterion. The aim of the present study is to classify and examine the prevalence of all types of pterion variations and perform morphometric measurements from previously defined anthropological landmarks. Materials and methods: One-hundred and twenty-four Thai dried skulls were investigated. Classification and morphometric measurement of the pterion was performed. Machine learning models were also used to interpret the morphometric findings with respect to sex and age estimation. Results: Spheno-parietal type was the most common type (62.1%), followed by epipteric (11.7%), fronto-temporal (5.2%) and stellate (1.2%). Complete synostosis of the pterion suture was present in 18.5% and was only present in males. While most morphometric measurements were similar between males and females, the distances from the pterion center to the mastoid process and to the external occipital protuberance were longer in males. Random forest algorithm could predict sex with 80.7% accuracy (root mean square error = 0.38) when the pterion morphometric data were provided. Correlational analysis indicated that the distances from the pterion center to the anterior aspect of the frontozygomatic suture and to the zygomatic angle were positively correlated with age, which may serve as basis for age estimation in the future. Conclusions: Further studies are needed to explore the use of machine learning in anatomical studies and morphometry-based sex and age estimation. Thorough understanding of the anatomy of the pterion is clinically useful when planning pterional craniotomy, particularly when the position of the pterion may change with age.
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Kozyreva, E. A., A. A. Rybchenko, and S. Demberel. "Morphometric analysis for flood flow formation feature identification (on example of Ulaanbaatar agglomeration)." Earth sciences and subsoil use 44, no. 4 (2021): 458–70. http://dx.doi.org/10.21285/2686-9993-2021-44-4-458-470.

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Water flows with significant flow rate feature a high destructive force and can lead to catastrophic consequences. Fluvial processes caused by uneven distribution of rain precipitation over the area pose risks to the developed inland foothill territories. The purpose of this study is to carry out a quantitative morphometric analysis of the territory in order to identify the formation features of flood flows. The analysis and ranking of catchment basins are performed using a basin approach. On the basis of SRTM images and the use of stock cartographic material in the GIS program the authors have built specialized electronic maps that allow to obtain quantitative parameters reflecting the morphometry of the basins under analysis including basin geometry, drainage network and terrain relief. On example of the Ulaanbaatar agglomeration territory it is shown how initial morphometric parameters of basins and watercourses (length, width, area, perimeter, erosion dissection, drainage network density, terrain relief coefficient, Melton coefficient, etc.) form the features of flood flow. For developed territories, the initial data on the catchment basin morphometry constitute the basis for compilation of specialized maps to be used in planning and construction. The combination of morphometric indicators on the territory of the Ulaanbaatar agglomeration indicates that there is possibility of large flood formation and development of dangerous mudstone flows in some catchment basins.
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Smolle, Josef. "Cellular Automaton Simulation of Tumour Growth – Equivocal Relationships between Simulation Parameters and Morphologic Pattern Features." Analytical Cellular Pathology 17, no. 2 (1998): 71–82. http://dx.doi.org/10.1155/1998/920709.

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Objective:To develop an interpretation procedure which estimates simulation parameters (tumour cell motility, tumour cell adhesion, autocrine and paracrine growth control, stroma destruction) of simulated patterns solely based on morphometric features of the morphologic pattern.Methods:A cellular automaton computer simulation program was developed which produces morphologic patterns by growth of a seed of tumour cells. At the beginning of each simulation run certain simulation parameters are assigned to the tumour cells. After the run has been completed, the resulting pattern is evaluated by a set of morphometric features. Simulation parameters and resulting morphometric features of 27,800 simulations were stored in a database and were used for the evaluation of potential relationships.Results:Correlation analysis showed highly significant correlations between morphometric features on the one hand and the preset simulation parameters (tumour cell motility, tumour cell adhesion, autocrine and paracrine growth control, stroma destruction) on the other. Correlation coefficients, however, varied from 0.72 to 0.99. When only one simulation parameter varied while all others were kept constant, morphometric features yielded a highly reliable estimate of the particular simulation parameter. When variability was extended to 4 simulation parameters, morphometric features were less effective in estimating the setting of the parameters. Though in all patterns tested several possible simulation parameter constellations could be ruled out, morphometric features were usually compatible with more than one set of simulation parameters thus preventing a straightforward interpretation.Conclusions:Though simulation parameters significantly and reproducibly influence the resulting morphologic pattern as characterized by morphometric features, estimates of the simulation parameters based on morphometric features yield equivocal results.
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B.N, Shruthi, Pavan P. Havaldar, and Shaik Hussain Saheb. "A Study on Morphological and Morphometric Features of Foramen Ovale." Indian Journal of Anatomy 6, no. 4 (2017): 515–18. http://dx.doi.org/10.21088/ija.2320.0022.6417.20.

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Viveka, S., and SujaS Kumar. "Morphological and morphometric features of cuboid bone." National Journal of Clinical Anatomy 6, no. 4 (2017): 273. http://dx.doi.org/10.4103/2277-4025.298226.

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Alimohammadi, Majid, Majid Doroudi, Golsan Zilabi, and Azarnoush Ebrahimi. "A study on Morphometric Features of Esophagus." FASEB Journal 34, S1 (2020): 1. http://dx.doi.org/10.1096/fasebj.2020.34.s1.07506.

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Kumar, Suja S. "Morphological and morphometric features of cuboid bone." National Journal of Clinical Anatomy 06, no. 04 (2017): 266–72. http://dx.doi.org/10.1055/s-0039-1700759.

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Abstract Background and aims : Morphological and morphometric data of cuboid is of significance in creating 3D model of midfoot alignment and in understanding pathologies and instabilities in the region. There is minimal data on biometric values of cuboid. The objective of the study was to evaluate morphological variations in calcaneal articulating facet and metatarsal articulating facet. The other objective was to report morphometric data of cuboid. Methodology: This descriptive study was conducted in the department of Anatomy, using 24 dry cuboid bones. Each bone was observed for pattern of articular surfaces. Articular surface of each bone was photographed and categorized. Presence of navicular facet was noted. Results: Pattern of calcaneal articular facet was classified into four types: IA – concavo-convex facet with posteromedial projection and overall oval or reniform shaped; 1B – concavo-convex facet without posteromedial projection and rectangular shaped; 2A – plane facet with posteromedial projection and oval or reniform shaped; 2B – plane facet without posteromedial projection and rectangular shaped. Type I was the most common. Pattern of metatarsal articulating facet was classified into three groups: Concave – the edges of metatarsal articulating facet projected anteriorly making a depression for articulation of 4th and 5th metatarsal bones; Plane – articulating facet is flat; Convex – the articulating surface slopes posteriorly. Concave pattern was most common. Mean medial length of cuboid was 33.9 [°3.3] mm, lateral length was 17.9[ °1.6]mm, height was 22[°1.5] mm, length index was 188.8, area of calcaneal articular facet was 124.9 [°10.9] mm2, area of metatarsal articulating facet was 91.9[°5.7]mm2, depth of peroneal groove was 1.83 [°1.3]mm. Conclusion: Morphological characterization of articular surfaces of cuboid, especially the calcaneal facet helps to understand the degree of movement at calcaneocuboid joint and also joint pathologies.
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Jones, William A., and David M. Checkley. "Classification of otoliths of fishes common in the Santa Barbara Basin based on morphology and chemical composition." Canadian Journal of Fisheries and Aquatic Sciences 74, no. 8 (2017): 1195–207. http://dx.doi.org/10.1139/cjfas-2015-0566.

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Morphological and chemical features of fish otoliths are used to distinguish between populations and stocks. We hypothesized that these features can also be used to distinguish between fishes of different taxonomic groups common in and near the Santa Barbara Basin, including mesopelagic, pelagic, and demersal fish. Sagittal otoliths obtained from 905 fish representing six taxonomic groups were imaged, and 12 geometric and 59 elliptic Fourier morphometric features were extracted. A subset of 143 otoliths was also analyzed for Li, Na, Mg, K, Mn, Sr, and Ba. We used chemical composition in addition to morphology because the latter may be altered between otolith formation and analysis. Two sets of classifiers were made: one using only morphometric features and one using both morphometric and element features. Random forest analysis was generally superior to discriminant function analysis. Highest classification success, evaluated using cross-validation and otoliths of masked identity, was achieved with multiple feature types. The ten strongest discriminatory features of all available feature types were used in the final classification models. Our method is applicable to the classification of otoliths recovered from guts, feces, middens, and sediments as well to classify other biological objects.
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Dissertations / Theses on the topic "Morphometric features"

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Wang, Daming Biological Earth &amp Environmental Sciences Faculty of Science UNSW. "Morphometric characteristisaiton of landform from DEMs." Publisher:University of New South Wales. Biological, Earth & Environmental Sciences, 2008. http://handle.unsw.edu.au/1959.4/43326.

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Digital Elevation Models (DEMs) are fundamental datasets for environmental modelling. They provide the basic data from which terrain indices that represent or influence environmental phenomena are derived, for example slope gradient and hydrological contributing area, and also the source from which specific morphometric features are quantified and characterised, for example mountains and drainage basins. This thesis focuses on the latter, with the aim being to develop an algorithm to characterise the landscape in terms of five morphometric features (peaks, passes, pits, ridges and valleys) and to assess its validity and effectiveness for characterising landform from DEMs. The research in this thesis is divided into two parts. First, an algorithm of morphometric characterisation of landform from OEMs is developed based on a locally fitted quadratic surface and its positional relationship with the analysis window. Five requirements are taken into account within the algorithm: (1) the ideal cases of different morphometric features are simply and clearly defined; (2) the output is spatially continuous to reflect the inherent fuzziness of landform features; (3) the output is easily combined into a multi-scale index across a range of operational scales; (4) the standard general morphometric parameters can be easily quantified due to the easy calculation of first and second order derivatives from the quadratic surface; and (5) the algorithm is applicable to the different data structures used to represent DEMs. An additional benefit of the quadratic surface is the derivation of the R?? goodness-of-fit statistic, which allows both an assessment of the reliability of the results and the complexity of the terrain. Of the five morphometric features identified using the algorithm, valleys are perhaps the most commonly used. Therefore the second part of this thesis is a more detailed comparison between the Multi-Scale Valleyness (MSV) and three existing algorithms (D8, D∞ and MrVBF). D8 and D∞ are global flow accumulation algorithms, and perform well when characterising valley centre lines. However, they do not identify the valley areas themselves, although this is to be expected given their formulation. MrVBF focuses on characterising valley bottoms and so performs well when characterising valleys in broad and topographically flat areas. It does not identify valleys in the steeper upland parts of a catchment, although this too is something to be expected given its formulation. MSV directly characterises valley areas from a geomorphometric point of view, and performs well for both upland and lowland catchments, irrespective of their width. Overall, the results show that the single- and multi-scale terrain indices developed in this research perform well when characterising the five morphometric features. The approach has considerable potential for use in environmental modelling and terrain analysis.
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Ehsani, Amir Houshang. "Artificial neural networks : applications in morphometric and landscape features analysis." Licentiate thesis, Stockholm : Byggvetenskap, Kungliga Tekniska högskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4392.

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Maree, Liana. "Sperm mitochondria: Species specificity and relationships to sperm morphometric features and sperm function in selected mammalian species." Thesis, University of the Western Cape, 2011. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_1728_1363788268.

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<p>Numerous studies on mammalian spermatozoa have reported large variations in the dimensions of the main sperm structural components, namely the head, midpiece and flagellum. These variations in sperm architecture are believed to be adaptations for functioning of spermatozoa in complex environments outside the male reproductive system. The midpiece of the mammalian&nbsp<br>permatozoon contains a varied number of mitochondria, but the reason for the marked difference in the size and structure of this sperm component is not clear. This study&nbsp<br>confirmed the variations in the sperm morphometry of seven selected mammalian species and revealed unique features of the sperm midpiece and sperm mitochondria of these seven species. Evaluation of several sperm kinematic parameters revealed the unique swimming characteristics of the different spermatozoa. The importance of using standardized motility&nbsp<br>parameters was highlighted as well as the assessment of different subpopulations of spermatozoa in order to produce more reliable and comparable data. Investigating the role of sperm mitochondria in human sperm&nbsp<br>metabolism indicated that these organelles are related to sperm function in terms of sperm motility. Furthermore, it was suggested that glycolysis and mitochondrial respiration are linked processes and that both are important for the maintenance of human sperm motility. By optimizing and employing standardized experimental procedures and analysis techniques, this study was&nbsp<br>able to confirm the species specificity of almost all the sperm parameters evaluated, while also elucidating the phylogenetic relatedness of the non-human primate species. In conclusion, the present study has confirmed that the various midpiece morphometry parameters are related to the remaining sperm morphometry parameters as well as to the sperm kinematic parameters.&nbsp<br>These proposed associations between the various sperm parameters were used to explain the sperm velocity of two hypothetical and morphologically different sperm structures. Therefore, the results of the current study support the idea of co-evolution between sperm components in mammalian spermatozoa and propose that the midpiece morphometry parameters that are selected for in these spermatozoa are midpiece volume, total number of mitochondrial gyres, thickness of the mitochondrial sheath and mitochondrial height.</p>
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Liu, Chi. "Nuclear Morphometry based Pattern Recognition in Pathology." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/980.

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Given the strong association between aberrant nuclear morphology and tumor progression, changes in nuclear structure have remained the gold standard for cancer diagnosis for over 150 years. Recently, the rapid development of imaging hardware and computation power creates the opportunity for automated computer-aided diagnosis (CAD). Developing a robust and reliable pattern recognition pipeline is a pressing need to mine and analyze tons of nuclei data being captured. Among the rich studies on pattern recognition problems in pathology, automated nuclei detection, segmentation and cancer detection are the recurring tasks due to the importance and challenges of nuclei analysis. In this thesis, we propose and investigate the state-of-art methods in the CAD modules for maximizing the overall amount of information from images for decision making. We focus on nuclei segmentation and patient cancer detection in the nuclei image analysis pipeline. As the first step in nuclei analysis, we develop an unsupervised nuclei detection and segmentation approach for pathology images. Different from many supervised segmentation methods whose performances rely on the quality and quantity of training samples, the proposed method is able to automatically search for the nucleus contour by solving the shortest path problem with little user effort. We consider the cancer detection task as a set classification problem and propose a highly discriminative predictive model in the sense that it not only optimizes the classifier decision boundary but also transfers discriminative information to set representation learning. The innovation of the model is the integration of set representation learning and classifier training into one objective function for boosting the cancer detection performance. Experimental results showed that the new model provides significant improvements compared with state-of-art methods in the diagnostic challenges. In addition, we showed that the predictive model enables visual interpretation of discriminative nuclear characteristics representing the whole nuclei set. We believe the proposed model is quite general and provide experimental validations in several extended pattern recognition problems.
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Powers, Amanda K. "The evolution of craniofacial features in the blind Mexican cavefish, Astyanax mexicanus." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1522332307473831.

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Dempsey, Alexandra C. "Global Evaluation of Platform-Top Sedimentary Features." NSUWorks, 2013. http://nsuworks.nova.edu/occ_stuetd/170.

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Remote sensing has transformed coral reef science in the last decades. It is now possible to audit reef health and geomorphology at global scale and very high spatial resolution. This work utilizes the vast and no-cost archive of imagery housed within Google Earth (GE). GE was used to interrogate the morphometric properties (size, shape, complexity, etc) of the components that combine to yield a reef environment (reef structures, sediment sheets, and so forth). The data populated a morphometric database for reefs globally that are partitioned by their architecture. The database has been investigated using information theory. The aim of the work is to identify whether motifs of carbonate platforms within these reef types are predictable on the basis of environmental parameters. The results are relevant to assess depositional patterns to develop rules for predicting how facies are distributed in modern systems and ancient reservoirs.
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Ehsani, Amir Houshang. "Morphometric and Landscape Feature Analysis with Artificial Neural Networks and SRTM data : Applications in Humid and Arid Environments." Doctoral thesis, KTH, Miljö- och resursinformation, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4789.

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This thesis presents a semi-automatic method to analyze morphometric features and landscape elements based on Self Organizing Map (SOM) as an unsupervised Artificial Neural Network algorithm in two completely different environments: 1) the Man and Biosphere Reserve “Eastern Carpathians” (Central Europe) as a complex mountainous humid area and 2) Lut Desert, Iran, a hyper arid region characterized by repetition of wind-eroded features. In 2003, the National Aeronautics and Space Administration (NASA) released the SRTM/ SIR-C band data with 3 arc seconds (approx. 90 m resolution) grid for approximately 80 % of Earth’s land surface. The X-band SRTM data were processed with a 1 arc second (approx. 30 m resolution) grid by the German space agency, DLR and the Italian space agency ASI, but due to the smaller X-SAR ground swath, large areas are not covered. The latest version 3.0 SRTM/C DEM and SRTM/X band DEM were re-projected to 90 and 30 m UTM grid and used to generate morphometric parameters of first order (slope) and second order (cross-sectional curvature, maximum curvatures and minimum curvature) by using a bivariate quadratic surface. The morphometric parameters are then used in a SOM to identify morphometric features (or landform elements) e.g. planar, channel, ridge in mountainous areas or yardangs (ridge) and corridors (valley) in hyper-arid areas. Geomorphic phenomena and features are scale-dependent and the characteristics of features vary when measured over different spatial extents or different spatial resolution. Morphometric parameters were derived for nine window sizes of the 90 m DEM ranging from 5 × 5 to 55 ×55. Analysis of the SOM output represents landform entities with ground areas from 450 m to 4950 m that is local to regional scale features. Effect of two SRTM resolutions, C and X bands is studied on morphometric feature identification. The difference change analysis revealed the quantity of resolution dependency of morphometric features. Increasing the DEM spatial resolution from 90 to 30 m (corresponding to X band) by interpolation resulted in a significant improvement of terrain derivatives and morphometric feature identification. Integration of morphometric parameters with climate data (e.g. Sum of active temperature above 10 ° C) in SOM resulted in delineation of morphologically homogenous discrete geo-ecological units. These units were reclassified to produce a Potential Natural Vegetation map. Finally, we combined morphometric parameters and remotely sensed spectral data from Landsat ETM+ to identify and characterize landscape elements. The single integrated data set of geo-ecosystems shows the spatial distribution of geomorphic, climatic and biotic/cultural properties in the Eastern Carpathians. The results demonstrate that a SOM is a very efficient tool to analyze geo-morphometric features under diverse environmental conditions and at different scales and resolution. Finer resolution and decreasing window size reveals information that is more detailed while increasing window size and coarser resolution emphasizes more regional patterns. It was also successfully applied to integrate climatic, morphometric parameters and Landsat ETM+ data for landscape analysis. Despite the stochastic nature of SOM, the results are not sensitive to randomization of initial weight vectors if many iterations are used. This procedure is reproducible with consistent results.<br>Avhandlingen presenterar en halvautomatisk metod för att analysera morfometriska kännetecken och landskapselement som bygger på Self Organizing Map (SOM), en oövervakad Artificiell Neural Nätverk algoritm, i två helt skilda miljöer: 1) Man and Biosphere Reserve "Eastern Carpathians" (Centraleuropa) som är ett komplext, bergigt och humid område och 2) Lut öken, Iran, en extrem torr region som kännetecknas av återkommande vinderoderade objekt. Basen för undersökningen är det C-band SRTM digital höjd modell (DEM) med 3 bågsekunder rutnät som National Aeronautics and Space Administration släppte 2003 för ungefär 80 % av jordens yta. Dessutom används i ett mindre område X-band SRTM DEM med 1 bågsekund rutnät av den tyska rymdagenturen DLR. DEM transformerades till 90 och 30 m UTM nätet och därav genererades morfometriska parametrar av första (lutning) och andra ordning (tvärsnittböjning, största och minsta böjning). De morfometriska parametrar används sedan i en SOM för att identifiera morfometriska objekt (eller landform element) t.ex. plan yta, kanal, kam i bergsområden eller yardangs (kam) och korridorer (dalgångar) i extrem torra områden. Geomorfiska fenomen och objekt är skalberoende och kännetecken varierar med geografiska områden och upplösning. Morfometriska parametrar har härletts från 90 m DEM för nio fönsterstorlekar från 5 × 5 till 55 × 55. Resultaten representerar landform enheter för områden från 450 m till 4950 m på marken dvs. lokal till regional skala. Inflytande av två SRTM upplösningar i C och X-banden har studerats för identifikation av morfometriska objekt. Förändringsanalys visade storleken av upplösningsberoende av morfometriska objekt. Ökning av DEM upplösningen från 90 till 30 m (motsvarande X-bandet) genom interpolation resulterade i en betydande förbättring av terräng parametrar och identifiering av morfometriska objekt. Integration av morfometriska parametrar med klimatdata (t.ex. summan av aktiv temperatur över 10° C) i SOM resulterade i avgränsningen av homogena geoekologiska enheter. Dessa enheter ha används för att producera en karta av potentiell naturlig vegetation. Slutligen har vi kombinerat morfometriska parametrar och multispektrala fjärranalysdata från Landsat ETM för att identifiera och karaktärisera landskapselement. Dessa integrerade ekosystem data visar den geografiska fördelningen av morfometriska, klimatologiska och biotiska/kulturella egenskaper i östra Karpaterna. Resultaten visar att SOM är ett mycket effektivt verktyg för att analysera geomorfometriska egenskaper under skilda miljöförhållanden, i olika skalor och upplösningar. Finare upplösning och minskad fönsterstorlek visar information som är mer detaljerad. Ökad fönsterstorlek och grövre upplösning betonar mer regionala mönster. Det var också mycket framgångsrikt att integrera klimatiska och morfometriska parametrar med Landsat ETM data för landskapsanalys. Trots den stokastiska natur av SOM, är resultaten inte känsliga för slumpvisa värden i de ursprungliga viktvektorerna när många iterationer används. Detta förfarande är reproducerbart med bestående resultat.<br>QC 20100924
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Zutautas, Vaidutis. "Charcoal Kiln Detection from LiDAR-derived Digital Elevation Models Combining Morphometric Classification and Image Processing Techniques." Thesis, Högskolan i Gävle, Samhällsbyggnad, GIS, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-24374.

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This paper describes a unique method for the semi-automatic detection of historic charcoal production sites in LiDAR-derived digital elevation models. Intensified iron production in the early 17th century has remarkably influenced ways of how the land in Sweden was managed. Today, the abundance of charcoal kilns embedded in the landscape survives as cultural heritage monuments that testify about the scale forest management for charcoal production has contributed to the uprising iron manufacturing industry. An arbitrary selected study area (54 km2) south west of Gävle city served as an ideal testing ground, which is known to consist of already registered as well as unsurveyed charcoal kiln sites. The proposed approach encompasses combined morphometric classification methods being subjected to analytical image processing, where an image that represents refined terrain morphology was segmented and further followed by Hough Circle transfer function applied in seeking to detect circular shapes that represent charcoal kilns. Sites that have been identified manually and using the proposed method were only verified within an additionally established smaller validation area (6 km2). The resulting outcome accuracy was measured by calculating harmonic mean of precision and recall (F1-Score). Along with indication of previously undiscovered site locations, the proposed method showed relatively high score in recognising already registered sites after post-processing filtering. In spite of required continual fine-tuning, the described method can considerably facilitate mapping and overall management of cultural resources.
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Daniel, Evandro. "Análise do papel da morfologia e do uso do solo na gênese e na distribuição das feições erosivas na bacia do córrego Espraiado, São Pedro (SP)." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/8/8135/tde-25022013-104558/.

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Os fatores condicionantes antrópicos e morfométricos são determinantes na formação do escoamento pluvial, do manejo do solo e na concentração de fluxos e detritos. No município de São Pedro (SP) é notória a ocorrência desses processos, sendo classificado, segundo o mapa de erosão do Estado de São Paulo como de alta suscetibilidade. Desta forma, a bacia do córrego Espraiado, localizada neste município, foi selecionada com objetivo de analisar a gênese e a distribuição das feições erosivas a partir da influência dos parâmetros morfométricos (curvatura, declividade e hipsometria) e antrópicos numa escala evolutiva (1962, 1972, 2000 e 2006) e também numa análise integrada e quantitativa (feições erosivas, uso do solo e parâmetros morfométricos), por meio do cálculo dos seguintes índices: Concentração de Erosão (CE) e Potencial de Erosão (PE). O primeiro índice é a razão entre o número de células em cada classe afetadas pela erosão e o número total de células na bacia, enquanto o segundo índice é a razão entre o número de células em cada classe afetadas pela erosão e o número total de células na mesma classe. Nos mapas das feições erosivas, observou-se que a partir do cenário de 1962 até 2006 a área total das feições erosivas registrou uma redução, no qual a cabeceira das drenagens revelou o setor com maior ocorrência e concentração de feições. O mapa do uso do solo revelou que o aumento do percentual de mata, da área urbana consolidada e da silvicultura, e a redução do solo exposto e da pastagem tiveram um papel determinante para a diminuição das feições erosivas, embora a classe de área urbana consolidada tenha influenciado diretamente para o surgimento de novas feições e a evolução de outras. A análise integrada mostrou que a curvatura côncava, a declividade entre 20 e 40% e as classes de solo exposto e de pastagens foram as mais suscetíveis e que estão presente principalmente nas áreas das cabeceiras de drenagens, setor que está associado a solos pouco espesso. Os índices também indicaram que mesmo as áreas com a presença de curvatura convexa ou retilínea e declividades entre 0 e 15% com baixos índices de PE mas com alterações antrópicas significativas, obtiveram aumento do potencial de ocorrência de feições erosivas, assim como, as classes de uso com baixo índice de PE quando associados aos parâmetros morfométricos de alto índice, propiciaram aumento da formação de feições erosivas.<br>The anthropic and morphometric factors are significant in the formation of runoff, soil management and concentration flows and debris. In the São Pedro city (SP) is recognized to exist of these processes, being classified, according to the erosion map of São Paulo state as high susceptibility. Thus, the Espraiado basin, located in this city, was selected to analyze the genesis and distribution of erosional features by the influence of morphometric parameters (curvature, slope and elevation) and anthropic in the evolutionary scale (1962, 1972, 2000 and 2006) and also an integrated and quantitative analysis (erosional features, land use and morphometric parameters), by calculating the following index: Erosion Concentration (EC) and Erosion Potential (EP). The first index is the ratio of the number of cells in each class affected by the erosion areas to the total number of cells in the basin, while the second index is the ratio of the number of cells in each class affected by the areas of erosion to the total number of cells in the same class. In the erosional features maps, we observed from 1962 to 2006 scenario, that the total area of erosional features decrease, in which the head drainages revealed the sector with the highest occurrence and concentration of features. The land use map showed that the increase of the percentages of the forest, of the urban area consolidated and the forestry, and the reduction of exposed soil and pasture were the role played on the reducing the erosive features, although the class of urban area consolidated was directly influenced in the new features and developments of the others. The integrated analysis showed that the concave curvature, the slope between 20 and 40% and the classes of exposed soil and pasture were the most susceptible and are primarily in the headwaters, a sector that is associated with very thick soils. These areas of high concentration runoff flow and debris, with fragile lithology and have a PE high, is related to the presence of curvature concave, in profile and plant, and concentrated flows, as well as high slope that increases the erosive power of the flow, factors that are associated with the erosion formation. The index also indicated that even the areas with the presence of convex or straight curvatures, slopes between 0 and 15%, with low PE but with significant anthropogenic changes, obtained an increase of the potential occurrence of erosional features, as well as classes use with low PE when associated with morphometric parameters of high, caused an increase of erosional features.
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Razib, Muhammad. "Structural Surface Mapping for Shape Analysis." FIU Digital Commons, 2017. https://digitalcommons.fiu.edu/etd/3517.

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Natural surfaces are usually associated with feature graphs, such as the cortical surface with anatomical atlas structure. Such a feature graph subdivides the whole surface into meaningful sub-regions. Existing brain mapping and registration methods did not integrate anatomical atlas structures. As a result, with existing brain mappings, it is difficult to visualize and compare the atlas structures. And also existing brain registration methods can not guarantee the best possible alignment of the cortical regions which can help computing more accurate shape similarity metrics for neurodegenerative disease analysis, e.g., Alzheimer’s disease (AD) classification. Also, not much attention has been paid to tackle surface parameterization and registration with graph constraints in a rigorous way which have many applications in graphics, e.g., surface and image morphing. This dissertation explores structural mappings for shape analysis of surfaces using the feature graphs as constraints. (1) First, we propose structural brain mapping which maps the brain cortical surface onto a planar convex domain using Tutte embedding of a novel atlas graph and harmonic map with atlas graph constraints to facilitate visualization and comparison between the atlas structures. (2) Next, we propose a novel brain registration technique based on an intrinsic atlas-constrained harmonic map which provides the best possible alignment of the cortical regions. (3) After that, the proposed brain registration technique has been applied to compute shape similarity metrics for AD classification. (4) Finally, we propose techniques to compute intrinsic graph-constrained parameterization and registration for general genus-0 surfaces which have been used in surface and image morphing applications.
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Books on the topic "Morphometric features"

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Patterson, Anna Harriet. Investigation of correlation between morphometric features of aspirated cells and histologic grade and stageof malignant breast disease. The Author], 1990.

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Book chapters on the topic "Morphometric features"

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Dudzińska, Dominika, and Adam Piórkowski. "Tissue Differentiation Based on Classification of Morphometric Features of Nuclei." In Communications in Computer and Information Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61702-8_29.

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Jaatinen, Pia, Jari Koistinaho, and Antti Hervonen. "Age-Related Morphometric and Histochemical Features of Rat Sympathetic Neurons." In Lipofuscin and Ceroid Pigments. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4899-5339-1_5.

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Aswatha Kumar, M., and B. S. Mahanand. "Alzheimer’s Disease Detection Using Minimal Morphometric Features with an Extreme Learning Machine Classifier." In Advances in Intelligent Systems and Computing. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-0740-5_90.

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Mazur, Patrycja, Rafał Obuchowicz, and Adam Piórkowski. "The Influence of Age on Morphometric and Textural Vertebrae Features in Lateral Cervical Spine Radiographs." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49666-1_6.

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Romanescu, Gheorghe, Cristian Constantin Stoleriu, and Andrei Enea. "Morphographic and Morphometric Features of the Hăghimaş Mountains, the Hydrographic Basin and the Red Lake Lacustrine Basin." In Limnology of the Red Lake, Romania. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6757-7_5.

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Sobkowiak, Marta, Wojciech Wolański, Mikołaj Zimny, Marek Gzik, and Wojciech Kaspera. "Analysis of an Impact of Hemodynamic Parameters in Relation to Variable Morphometric Features of the Middle Cerebral Artery (MCA)." In Innovations in Biomedical Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15472-1_22.

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Toews, Matthew, William M. Wells, D. Louis Collins, and Tal Arbel. "Feature-Based Morphometry." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04271-3_14.

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Olóriz, Federico, Paul Palmqvist, and Juan A. Pérez-Claros. "Recent Advances in Morphometric Approaches to Covariation of Shell Features and the Complexity of Suture Lines in Late Jurassic Ammonites, With Reference to the Major Environments Colonized." In Advancing Research on Living and Fossil Cephalopods. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4837-9_21.

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Liu, Chi, Yue Huang, Ligong Han, John A. Ozolek, and Gustavo K. Rohde. "Hierarchical Feature Extraction for Nuclear Morphometry-Based Cancer Diagnosis." In Deep Learning and Data Labeling for Medical Applications. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46976-8_23.

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Perdomo, Oscar, Vincent Andrearczyk, Fabrice Meriaudeau, Henning Müller, and Fabio A. González. "Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation." In Computational Pathology and Ophthalmic Medical Image Analysis. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00949-6_38.

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Conference papers on the topic "Morphometric features"

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Bobby, T. Christy. "Estimation of femur morphometric features for CBIR application." In 2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII). IEEE, 2017. http://dx.doi.org/10.1109/icbsii.2017.8082276.

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Perdomo Charry, Oscar Julian, John Arevalo, and Fabio A. González. "Combining morphometric features and convolutional networks fusion for glaucoma diagnosis." In 13th International Symposium on Medical Information Processing and Analysis, edited by Jorge Brieva, Juan David García, Natasha Lepore, and Eduardo Romero. SPIE, 2017. http://dx.doi.org/10.1117/12.2285964.

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Ilyushchenko, V. V., and A. V. Ilyushchenko. "ADDITIONAL MORPHOMETRIC AND COLOR FEATURES FOR RECOGNITION OF WOOD DEFECTS." In All-Russian Scientific Conference, dedicated to the 90th anniversary of the Voronezh State Forestry University named after G.F. Morozov. Знание-М, 2020. http://dx.doi.org/10.38006/907345-73-7.2020.398.403.

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в данной статье приведен список морфометрических, цветовых и текстурных признаков, используемых для распознавания пороков древесины на RGB-изображении и изображении в оттенках серого в процессе сортировки пиломатериалов. Предложены дополнительные морфометрические признаки и цветовые признаки для улучшения качества распознавания пороков и дефектов древесины, а именно отношение высоты к ширине объекта, отношение высоты к эквивалентному диаметру объекта, координаты правого нижнего угла ограничивающего прямоугольника по оси абсцисс и оси ординат, максимальный и минимальный диапазон по каждой составляющей RGB-изображения, наиболее встречающееся значение по каждой составляющей RGB-изображения, среднеарифметические значения минимального и максимального значений, средневзвешенное значение яркости. Также авторами приведены случаи, в которых могут применяться предложенные дополнительные признаки.
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Nemtinov, V. I., A. V. Shirokova, A. A. Zubochenko, et al. "Assessment of chemical mutagens by a complex of features in the selection of garlic." In CURRENT STATE, PROBLEMS AND PROSPECTS OF THE DEVELOPMENT OF AGRARIAN SCIENCE. Federal State Budget Scientific Institution “Research Institute of Agriculture of Crimea”, 2020. http://dx.doi.org/10.33952/2542-0720-2020-5-9-10-72.

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Some positive effect of chemical mutagen treatments of air garlic bulbs on the morphometric parameters and economically valuable traits of winter garlic bulbs in the second generation was established.
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DOLCI, Claudia, Valentina PUCCIARELLI, Marina CODARI, et al. "3D Morphometric Evaluation of Craniofacial Features in Adult Subjects with Marfan Syndrome." In 7th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 30 Nov.-1 Dec. 2016. Hometrica Consulting - Dr. Nicola D'Apuzzo, 2016. http://dx.doi.org/10.15221/16.098.

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Sabino, Alan U., Adriana V. Safatle-Ribeiro, Fauze Maluf-Filho, and Alexandre F. Ramos. "Motiro: a unified automatic framework for statistical analysis of probe-based confocal laser endomicroscopy videos of colorectal mucosa." In Escola Regional de Computação Aplicada à Saúde. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/ercas.2021.17432.

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Probe-based Confocal Laser Endomicrocopy (pCLE) enables imaging the colorectal mucosa for screening and surveillance of cancer. Analyzing acquired videos relies on subjectivity of the endomicroscopists. Quantitative criteria are needed to enhance the diagnostics obtained using pCLE. We present Motiro, an automatic framework to extract features of the colorectal mucosa imaged by pCLE. Morphometric features of the crypts of the healthy colorectal mucosa are analysed and their variability quantified using the Shannon entropy. Hellinger distance compares the statistics of a morphometric parameter in multiple mucosas (or mucosas&amp;apos; regions). Quantification of variability of the healthy mucosa is a prerequisite for pCLE-based early diagnostics of colorectal cancer.
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Ergon, Elliott, Allison S. Harney, Nathan Martin, et al. "Abstract 1674: Quantifying tumor-infiltrating leukocytes in hematoxylin stained NSCLC tissue samples using morphometric features." In Proceedings: AACR Annual Meeting 2017; April 1-5, 2017; Washington, DC. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.am2017-1674.

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Semenova, N. M., A. M. Sokolov, N. M. Moiseev, T. M. Ganiev, and Т. S. Otcheskaya. "THE SOME RESULTS OF THE RESEARCH OF THE NATURE MONUMENT «SUKHORECHENSKIYE CUPS» IN THE VICINITY OF TOMSK CITY." In Prirodopol'zovanie i ohrana prirody: Ohrana pamjatnikov prirody, biologicheskogo i landshaftnogo raznoobrazija Tomskogo Priob'ja i drugih regionov Rossii. Izdatel'stvo Tomskogo gosudarstvennogo universiteta, 2020. http://dx.doi.org/10.17223/978-5-94621-954-9-2020-20.

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Some results of the study of lime caps in the Ushayka river basin near the village of Sukhorechye are presented. The morphometric features of travertine springs are considered. The need for special protection of the Sukhorechenskiye caps is determined.
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Feoktistova, E. A., Zh F. Rodionova, A. Yu Zharkova, A. A. Kokhanov, and I. Yu Zavyalov. "Analisys of morphological features of Mercury craters based on a new database." In ASTRONOMY AT THE EPOCH OF MULTIMESSENGER STUDIES. Proceedings of the VAK-2021 conference, Aug 23–28, 2021. Crossref, 2022. http://dx.doi.org/10.51194/vak2021.2022.1.1.081.

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The new global catalog of craters for Mercury, containing morphological and morphometric information, includes data onthe location (latitude, longitude), diameter, depth and such features of craters as the degree of preservation of the rampart,the presence of terraces and collapses on the inner slope, the presence of peaks, hills and ridges, cracks and chains, thenature of the bottom, lava at the bottom, the ray system, the nature of the underlying surface. The new catalog is basedon measurements of the coordinates and diameters of craters carried out at Brown University (USA) for craters with adiameter of 20 km or more and is supplemented by craters with diameters of 10–20 km. To describe the morphologicalfeatures of craters we used the methodology developed in SAI MSU.
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Chueva, A. V., N. A. Isaikin, and B. N. Yakimov. "MORPHOMETRIC CHARACTERISTICS OF GROUND BEETLES (COLEOPTERA, CARABIDAE) STATE NATURAL BIOLOGICAL RESERVE "PUSTYNSKY" OF NIZHNY NOVGOROD REGION." In V International Scientific Conference CONCEPTUAL AND APPLIED ASPECTS OF INVERTEBRATE SCIENTIFIC RESEARCH AND BIOLOGICAL EDUCATION. Tomsk State University Press, 2020. http://dx.doi.org/10.17223/978-5-94621-931-0-2020-46.

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This work presents the results of studying the morphometric features of 8 genera of ground beetles (Amara, Calathus, Carabus, Cimindis, Harpalus, Notiophilus, Pterostichus, Synuchus), a single morphospace was formed, within which four main form variations were identified. An analysis of variance was also carried out for the variability of the form, on the basis of which the conclusions about the prevalence of interspecific variability over intraspecific were drawn.
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Reports on the topic "Morphometric features"

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Tsybekmitova, G. Ts, L. D. Radnaeva, N. A. Tashlykova, et al. THE EFFECT OF CLIMATIC SHIFTS ON BIODIVERSITY OF PHYTOCENOSIS: LAKE ARAKHLEY (EASTERN SIBERIA, RUSSIA). DOICODE, 2020. http://dx.doi.org/10.18411/0973-7308-2020-35-3-77-90.

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Lake Arakhley is located within the Lake Baikal basin in Eastern Siberia, Russia. The area is characterized by continental subarctic climate with considerate diurnal temperature range, long cold dry winters and short hot summers with more precipitation occurring during the latter half of the summer. Climatic shifts in high water years and low water years result in morphometric changes in the lake and in the chemical and physical parameters of the ecosystem. During low water years, concentrations of ammonium nitrogen and nitrite nitrogen are decreased, whereas nitrate concentration increases. High water years feature average concentrations of ammonium ions 1.5–2 times higher than the values of recent dry years. Redundancy analysis (RDA) of abiotic factors and biotic community indicated that the community structure shows the greatest correlation with physical and chemical parameters of water and biogenic elements (nitrites, ammonium, phosphates) along the first axis, and with the lake depth and transparency along the second axis. Changes in abiotic factors induce functioning and formation of characteristic communities of the primary producers in the trophic structure of the ecosystem. During low water years, with increased level of autochthonous organic matter, Lindavia comta dominance is observed, while during high water years, with increased allochthonous organic matter Asterionella formosa appeared as dominant. Currently, during low water years, the hydrophytes community is monodominant and composed of Ceratophyllum demersum. Meanwhile, such species indicating eutrophic conditions as Myriophyllum sibiricum, Potamogeton pectinatus are found in the lake vegetation.
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