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Journal articles on the topic 'Shape descriptors'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Bueno, Murilo José de Oliveira, Maisa Silva, Sergio Augusto Cunha, Ricardo da Silva Torres, and Felipe Arruda Moura. "Multiscale fractal dimension applied to tactical analysis in football: A novel approach to evaluate the shapes of team organization on the pitch." PLOS ONE 16, no. 9 (2021): e0256771. http://dx.doi.org/10.1371/journal.pone.0256771.

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The aim of this study was to evaluate different shape descriptors applied to images of polygons that represent the organization of football teams on the pitch. The effectiveness of different shape descriptors (area/perimeter, fractal area, circularity, maximum fractal, rectangularity, multiscale fractal curve—MFC), and the concatenation of all shape descriptors (except MFC), denominated Alldescriptors (AllD)) was evaluated and applied to polygons corresponding to the shapes represented by the convex hull obtained from players’ 2D coordinates. A content-based image retrieval system (CBIR) was a

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2

Motoc, I., G. R. Marshall, R. A. Dammkoehler, and J. Labanowski. "Molecular Shape Descriptors. 1. Three-Dimensional Molecular Shape Descriptor." Zeitschrift für Naturforschung A 40, no. 11 (1985): 1108–13. http://dx.doi.org/10.1515/zna-1985-1106.

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The paper presents and illustrates a method which uses numerical integration of the van der Waals envelope(s) to calculate with desired accuracy the molecular van der Waals volume and the three-dimensional molecular shape descriptor defined as the twin-number [OV(α, β); NOV(β, α), where OV and NOV represent the overlapping and, respectively, the nonoverlapping van der Waals volumes of the molecules α and ß superimposed according to appropriate criteria.

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Bashiri, Fereshteh S., Reihaneh Rostami, Peggy Peissig, Roshan M. D’Souza, and Zeyun Yu. "An Application of Manifold Learning in Global Shape Descriptors." Algorithms 12, no. 8 (2019): 171. http://dx.doi.org/10.3390/a12080171.

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With the rapid expansion of applied 3D computational vision, shape descriptors have become increasingly important for a wide variety of applications and objects from molecules to planets. Appropriate shape descriptors are critical for accurate (and efficient) shape retrieval and 3D model classification. Several spectral-based shape descriptors have been introduced by solving various physical equations over a 3D surface model. In this paper, for the first time, we incorporate a specific manifold learning technique, introduced in statistics and machine learning, to develop a global, spectral-bas

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Mahdikhanlou, Khadijeh, and Hossein Ebrahimnezhad. "Shape Classification Based on Geometric Features of Evolution Points via Sparse Representation." International Journal on Artificial Intelligence Tools 25, no. 03 (2016): 1650010. http://dx.doi.org/10.1142/s021821301650010x.

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In this paper, a novel shape descriptor for shape recognition is proposed. An evolutionary process is introduced in which a contour is reconstructed from the bounding circle of the shape. In this evolutionary process, circle points always move toward the shape in normal direction until they arrive at the shape contour. Three different descriptors are extracted from this process: the first descriptor is defined as the number of steps that every circle point should pass from circle to shape contour which is called evolution steps (ES). The second descriptor is considered as the boundary distance

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Zhang, Dengsheng, and Guojun Lu. "Evaluation of MPEG-7 shape descriptors against other shape descriptors." Multimedia Systems 9, no. 1 (2003): 15–30. http://dx.doi.org/10.1007/s00530-002-0075-y.

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6

Proença, Pedro F., Filipe Gaspar, and Miguel Sales Dias. "Good Appearance and 3D Shape Descriptors for Object Category Recognition." International Journal on Artificial Intelligence Tools 24, no. 04 (2015): 1540017. http://dx.doi.org/10.1142/s0218213015400175.

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For the problem of object category recognition, we have studied different families of descriptors exploiting RGB and 3D information. We have proven practically that 3D shape-based descriptors are more suitable for this type of recognition due to low shape intra-class variance, as opposed to texture-based. Performance evaluation on training-set subsampling, suggests that the viewpoint invariance characteristics of 3D descriptors, favors significantly these descriptors while invariant SIFT descriptors can be ambiguous. In addition, we have also shown how an efficient Naive Bayes Nearest Neighbor

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Li, Zekun, Baolong Guo, and Fanjie Meng. "Fast Shape Recognition via the Restraint Reduction of Bone Point Segment." Symmetry 14, no. 8 (2022): 1670. http://dx.doi.org/10.3390/sym14081670.

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In computer science, and especially in computer vision, the contour of an object is used to describe its features; thus, the shape descriptor plays an indispensable role in target detection and recognition. Further, Fourier is an important mathematical description method, and the Fourier transform of a shape contour has symmetry. This paper will demonstrate the symmetry of shape contour in the frequency domain. In recent years, increasing numbers of shape descriptors have come to the fore, but many descriptors ignore the details of shape. It is found that the most fundamental reason affecting

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Ishikawa, T., A. Hayashi, S. Nagamatsu, et al. "CLASSIFICATION OF STRAWBERRY FRUIT SHAPE BY MACHINE LEARNING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 463–70. http://dx.doi.org/10.5194/isprs-archives-xlii-2-463-2018.

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Shape is one of the most important traits of agricultural products due to its relationships with the quality, quantity, and value of the products. For strawberries, the nine types of fruit shape were defined and classified by humans based on the sampler patterns of the nine types. In this study, we tested the classification of strawberry shapes by machine learning in order to increase the accuracy of the classification, and we introduce the concept of computerization into this field. Four types of descriptors were extracted from the digital images of strawberries: (1) the Measured Values (MVs)

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9

Hu, Ling, Haibo Wang, Xuguang Yang, Haojun Xu, and Yongzhong Liao. "AFSMWD: A Descriptor Flexibly Encoding Multiscale and Oriented Shape Features." Mathematics 12, no. 18 (2024): 2946. http://dx.doi.org/10.3390/math12182946.

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Shape descriptors are extensively used in shape analysis tasks such as shape correspondence, segmentation and retrieval, just to name a few. Their performances significantly determine the efficiency and effectiveness of subsequent applications. For this problem, we propose a novel powerful descriptor called Anisotropic Fractional Spectral Manifold Wavelet Descriptor (AFSMWD), built upon an extended manifold signal processing tool named Anisotropic Fractional Spectral Manifold Wavelet (AFSMW), which is also presented for the first time in this paper. The novelty of AFSMW is integrating the frac

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10

Wang, Xiao Chun, and Hong Lei Sun. "Shape Classification and Retrieval Based on the V-System." Applied Mechanics and Materials 328 (June 2013): 227–32. http://dx.doi.org/10.4028/www.scientific.net/amm.328.227.

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In this paper, a method for describing 2D shape characteristic is presented. The similarity between any two shapes is measured by the Euclidian distance between their corresponding new shape descriptors. Accordingly, a new classification and retrieval technique is proposed by comparing the similarity between two shapes. To evaluate the proposed method, we applied it on the benchmark data set MPEG-7-PartB for shape classification and retrieval. The results show that the V-descriptor has higher efficiency than Zernike moment, pseudo Zernike moment, the central moment and moment invariants.

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Sajjanhar, A., G. Lu, D. S. Zhang, and W. Zhou. "Connectivity-Based Shape Descriptors." International Journal of Computers and Applications 32, no. 1 (2010): 93–98. http://dx.doi.org/10.1080/1206212x.2010.11441964.

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12

LINDSAY, RICHARD, GEORGE SMITH, and DAVID ATCHISON. "Descriptors of Corneal Shape." Optometry and Vision Science 75, no. 2 (1998): 156–58. http://dx.doi.org/10.1097/00006324-199802000-00019.

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13

Heider, Paul, Alain Pierre-Pierre, Ruosi Li, Rolf Mueller, and Cindy Grimm. "Comparing local shape descriptors." Visual Computer 28, no. 9 (2012): 919–29. http://dx.doi.org/10.1007/s00371-012-0725-9.

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Çapar, Abdulkerim, Binnur Kurt, and Muhittin Gökmen. "Gradient-based shape descriptors." Machine Vision and Applications 20, no. 6 (2008): 365–78. http://dx.doi.org/10.1007/s00138-008-0131-5.

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15

Gramatica, Paola. "WHIM Descriptors of Shape." QSAR & Combinatorial Science 25, no. 4 (2006): 327–32. http://dx.doi.org/10.1002/qsar.200510159.

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Goldman, Brian B., and W. Todd Wipke. "QSD quadratic shape descriptors. 2. Molecular docking using quadratic shape descriptors (QSDock)." Proteins: Structure, Function, and Genetics 38, no. 1 (2000): 79–94. http://dx.doi.org/10.1002/(sici)1097-0134(20000101)38:1<79::aid-prot9>3.0.co;2-u.

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17

Lara, López Graciela, Pérez Negrón Adriana Peña, Antonio Angélica de, Jaime Ramírez, and Ricardo Imbert. "Comparative analysis of shape descriptors for 3D objects." Multimedia Tools and Applications 76 (March 1, 2017): 6993–7040. https://doi.org/10.1007/s11042-016-3330-5.

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One of the basic characteristics of an object is its shape. Several research areas in mathematics and computer science have taken an interest in object representation in both 2D images and 3D models, where shape descriptors are a powerful mechanism enabling the processes of classification, retrieval and comparison for object matching. In this paper, we present a literature survey of this broad field, including a comparative analysis based on the above shape descriptor processes. In view of their significance, we identified the shape descriptors implemented using the concept of visual salience.

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18

Ghosh, Moumita, Joydeep Mukherjee, and Ranjan Parekh. "Fish Shape Recognition using Multiple Shape Descriptors." International Journal of Computer Applications 73, no. 16 (2013): 14–19. http://dx.doi.org/10.5120/12824-9937.

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19

POURGHAHRAMANI, PARVIZ, and Eric Forssberg. "REVIEW OF APPLIED PARTICLE SHAPE DESCRIPTORS AND PRODUCED PARTICLE SHAPES IN GRINDING ENVIRONMENTS. PART I: PARTICLE SHAPE DESCRIPTORS." Mineral Processing and Extractive Metallurgy Review 26, no. 2 (2005): 145–66. http://dx.doi.org/10.1080/08827500590912095.

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20

Capehart, Kevin W. "Willingness to Pay for Wine Bullshit: Some New Estimates." Journal of Wine Economics 16, no. 3 (2021): 260–82. http://dx.doi.org/10.1017/jwe.2021.24.

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AbstractAs part of a classic article in this journal, Richard Quandt identified 123 wine descriptors that he deemed to be bullshit. In this paper, I examine whether wine consumers are willing to pay any more (or less) for wine if it is described by one of those “bullshit” descriptors. I use three methods to examine that. The first method involves applying a hedonic regression to a dataset of prices and expert descriptions for about 50,000 wines. The second method involves applying a matching estimator to the same dataset. The third method involves a stated-preference survey of about 500 wine c

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21

Ye Mei and D. Androutsos. "Robust Affine Invariant Region-Based Shape Descriptors: The ICA Zernike Moment Shape Descriptor and the Whitening Zernike Moment Shape Descriptor." IEEE Signal Processing Letters 16, no. 10 (2009): 877–80. http://dx.doi.org/10.1109/lsp.2009.2026119.

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22

Sun, Zhiyu, Yusen He, Andrey Gritsenko, Amaury Lendasse, and Stephen Baek. "Embedded spectral descriptors: learning the point-wise correspondence metric via Siamese neural networks." Journal of Computational Design and Engineering 7, no. 1 (2020): 18–29. http://dx.doi.org/10.1093/jcde/qwaa003.

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Abstract A robust and informative local shape descriptor plays an important role in mesh registration. In this regard, spectral descriptors that are based on the spectrum of the Laplace–Beltrami operator have been a popular subject of research for the last decade due to their advantageous properties, such as isometry invariance. Despite such, however, spectral descriptors often fail to give a correct similarity measure for nonisometric cases where the metric distortion between the models is large. Hence, they are not reliable for correspondence matching problems when the models are not isometr

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23

Guan, Guoye, Yixuan Chen, Hongli Wang, Qi Ouyang, and Chao Tang. "Characterizing Cellular Physiological States with Three-Dimensional Shape Descriptors for Cell Membranes." Membranes 14, no. 6 (2024): 137. http://dx.doi.org/10.3390/membranes14060137.

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The shape of a cell as defined by its membrane can be closely associated with its physiological state. For example, the irregular shapes of cancerous cells and elongated shapes of neuron cells often reflect specific functions, such as cell motility and cell communication. However, it remains unclear whether and which cell shape descriptors can characterize different cellular physiological states. In this study, 12 geometric shape descriptors for a three-dimensional (3D) object were collected from the previous literature and tested with a public dataset of ~400,000 independent 3D cell regions s

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24

Persoon, Eric, and King-Sun Fu. "Shape Discrimination Using Fourier Descriptors." IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-8, no. 3 (1986): 388–97. http://dx.doi.org/10.1109/tpami.1986.4767799.

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25

Aouat, Saliha, and Slimane Larabi. "Shape matching using coarse descriptors." International Journal of Computational Vision and Robotics 1, no. 2 (2010): 169. http://dx.doi.org/10.1504/ijcvr.2010.036080.

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26

Bober, M. "MPEG-7 visual shape descriptors." IEEE Transactions on Circuits and Systems for Video Technology 11, no. 6 (2001): 716–19. http://dx.doi.org/10.1109/76.927426.

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27

Shoichet, Brian K., Irwin D. Kuntz, and Dale L. Bodian. "Molecular docking using shape descriptors." Journal of Computational Chemistry 13, no. 3 (1992): 380–97. http://dx.doi.org/10.1002/jcc.540130311.

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28

Zheng, Yan, Baolong Guo, Zhijie Chen, and Cheng Li. "A Fourier Descriptor of 2D Shapes Based on Multiscale Centroid Contour Distances Used in Object Recognition in Remote Sensing Images." Sensors 19, no. 3 (2019): 486. http://dx.doi.org/10.3390/s19030486.

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A shape descriptor is an effective tool for describing the shape feature of an object in remote sensing images. Researchers have put forward a lot of excellent descriptors. The discriminability of some descriptors is very strong in the experiments, but usually their computational cost is large, which makes them unsuitable to be used in practical applications. This paper proposes a new descriptor-FMSCCD (Fourier descriptor based on multiscale centroid contour distance)—which is a frequency domain descriptor based on the CCD (centroid contour distance) method, multiscale description, and Fourier

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Wu, Bo, Songlin Feng, Guodong Sun, Liang Xu, and Chenghan Ai. "Identification Method of Shaft Orbit in Rotating Machines Based on Accurate Fourier Height Functions Descriptors." Shock and Vibration 2018 (October 23, 2018): 1–10. http://dx.doi.org/10.1155/2018/3737250.

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In this paper, an algorithm based on two novel shape descriptors and support vector machine (SVM) is proposed to improve the recognition accuracy and speed of shaft orbits of rotating machines. Firstly, two novel shape descriptors, respectively, named accurate Fourier height functions 1 (AFHF1) and accurate Fourier height functions 2 (AFHF2) are presented based on height function (HF) and Fourier transformation. Both AFHF1 and AFHF2 shape descriptors are constant to similarity transforms and also have intrinsic invariance to the starting point change and are more compacted than HF. Therefore,

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Matsuyama, Kazuma, Takahiro Shimizu, and Takeo Kato. "Systematic Classification of Curvature and Feature Descriptor of 3D Shape and Its Application to “Complexity” Quantification Methods." Entropy 25, no. 4 (2023): 624. http://dx.doi.org/10.3390/e25040624.

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Generative design is a system that automates part of the design process, but it cannot evaluate psychological issues related to shapes, such as “beauty” and “liking”. Designers therefore evaluate and choose the generated shapes based on their experience. Among the design features, “complexity” is considered to influence “aesthetic preference”. Although feature descriptors calculated from curvature can be used to quantify “complexity”, the selection guidelines for curvature and feature descriptors have not been adequately discussed. Therefore, this study aimed to conduct a systematic classifica

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Duarte-Neto, Paulo, Rosângela Lessa, Borko Stosic, and Eric Morize. "The use of sagittal otoliths in discriminating stocks of common dolphinfish (Coryphaena hippurus) off northeastern Brazil using multishape descriptors." ICES Journal of Marine Science 65, no. 7 (2008): 1144–52. http://dx.doi.org/10.1093/icesjms/fsn090.

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Abstract Duarte-Neto, P., Lessa, R., Stosic, B., and Morize, E. 2008. The use of sagittal otoliths in discriminating stocks of common dolphinfish (Coryphaena hippurus) off northeastern Brazil using multishape descriptors. – ICES Journal of Marine Science, 65: 1144–1152. The shape of sagittal otoliths from the dolphinfish (Coryphaena hippurus) was studied to test the hypothesis that two stocks exist off the northeast coast of Brazil. In all, 82 sagittal otoliths were collected from fish caught by the artisanal fleet in two coastal regions of northeastern Brazil in December 2003 and April/May 20

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Cohal, Viorel. "Recognition of Geometric Shapes in Images." Advanced Materials Research 1036 (October 2014): 755–59. http://dx.doi.org/10.4028/www.scientific.net/amr.1036.755.

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This paper proposes finding optimal ways of recognizing geometric shapes (square, circle, rectangle, etc.) of files in different formats. Shapes recognition is a field of artificial intelligence, which includes all representation and decision techniques to automate the process of identifying similarities between objects or phenomena. An application of shapes recognition requires the definition of descriptors and choosing a distance. An application of shapes recognition is done in two phases: learning and recognition. By learning to calculate the set of descriptors of known (reference). In reco

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Mani, M. Radhika, and T. Srikanth. "An Innovative Vortex based Complex Potential Signature for Shape based Object Recognition." International Journal of Computational and Applied Mathematics & Computer Science 2 (June 4, 2022): 39–43. http://dx.doi.org/10.37394/232028.2022.2.8.

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An Innovative approach for representation and description of shape components for object recognition based on complex potential is proposed. In the complex plane, the flow of velocity is a crucial factor to discriminate different shapes. Hence, the present paper computes the potential flow by transforming the shape of the input object into complex plane. The present paper computes the Vortex based Complex Potential signature (VCP) by considering the radial lines as Equipotential lines and the circles as streamlines. The proposed VCP signature is described with the Fourier transformation for th

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Motoc, loan, and Garland R. Marshall. "Molecular Shape Descriptors. 2. Quantitative Structure-Activity Relationships Based Upon Three-Dimensional Molecular Shape Descriptor." Zeitschrift für Naturforschung A 40, no. 11 (1985): 1114–20. http://dx.doi.org/10.1515/zna-1985-1107.

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A methodology to incorporate the three-dimensional molecular shape descriptor (3 D-MSD) into a quantitative structure-activity relationship is discussed in detail. The 3 D-MSD is calculated and correlated with Kiapp values for a set of 2,4-diamino-5-benzylpyrimidines which inhibit E. coli DHFR. The correlation (n = 22, r = 0.95, s = 0.214, F = 55.10) indicates that the polarization interaction dominates the enzyme-inhibitor interactional pattern.

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Zang, C., H. B. Lan, D. D. Jiang, and M. I. Friswell. "Mode Shape Description and Model Updating of Axisymmetric Structures Using Radial Tchebichef Moment Descriptors." Shock and Vibration 2021 (March 9, 2021): 1–19. http://dx.doi.org/10.1155/2021/8895583.

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A novel approach for mode shape feature extraction and model updating of axisymmetric structures based on radial Tchebichef moment (RTM) descriptors is proposed in this study. The mode shape features extracted by RTM descriptors can effectively compress the full-field modal vibration data and retain the most important information. The reconstruction of mode shapes using RTM descriptors can accurately describe the mode shapes, and the simulation shows that the RTM function is superior to Zernike moment function in terms of its mathematical properties and its shape reconstruction ability. In add

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36

Lyakh, Anton M. "A cluster analysis of some shapes of diatom valves." Issues of modern algology (Вопросы современной альгологии), no. 2(32) (2023): 185–88. http://dx.doi.org/10.33624/2311-0147-2022-2(32)-185-188.

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The results of the application of a cluster analysis to the shapes of some diatom valves are presented in the paper. The cluster analysis uses numeric descriptors of the shapes. To get such descriptors, the outlines of shapes have been transformed to the sequences of normalized and coordinated coefficients of elliptic Fourier transform. The coefficients have been used to construct shape dendrograms with the help of thee variants of hierarchical cluster analysis. The dendrograms have been truncated at the level of 6, 10 and 20 clusters. From the obtained clusters the stable groups of shapes, th

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Xu, Xinggui, Ping Yang, Bing Ran, Hao Xian, and Yong Liu. "Long-distance deformation object recognition by integrating contour structure and scale-invariant heat kernel signature." Journal of Intelligent & Fuzzy Systems 39, no. 3 (2020): 3241–57. http://dx.doi.org/10.3233/jifs-191649.

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The tough challenges of object recognition in long-distance scene involves contour shape deformation invariant features construction. In this work, an effective contour shape descriptor integrating critical points structure and Scale-invariant Heat Kernel Signature (SI-HKS) is proposed for long-distance object recognition. We firstly propose a general feature fusion model. Then, we capture the object contour structure feature with Critical-points Inner-distance Shape Context (CP-IDSC). Meanwhile, we pull-in the SI-HKS for capturing the local deformation-invariant properties of 2D shape. Based

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Mishra, Durgesh Kumar, Ashutosh Singh, Sunil Mishra, Priti Singh, and Abhishek Singh. "PM3 Method based QSAR Study of the Derivatives of Thiadiazole and Quinoxaline for Antiepileptic Activity using Topological Descriptors." Asian Journal of Organic & Medicinal Chemistry 7, no. 1 (2022): 99–110. http://dx.doi.org/10.14233/ajomc.2022.ajomc-p370.

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QSAR study of the derivatives of thiadiazole and quinoxaline has been performed for the antiepileptic activity using the topological descriptors viz., molar refractivity, shape index (basic kappa, order 1), shape index (basic kappa, order 2), shape index (basic kappa, order 3), valence connectivity index (order 0, standard), valence connectivity index (order 1, standard) and valence connectivity index (order 2, standard). In the best QSAR model, the descriptors are molar refractivity, shape index (basic kappa, order 1), shape index (basic kappa, order 3) and valence connectivity index (order 0

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Silva, Hortência Kardec da, Adriana Rodrigues Passos, Alessandra Selbach Schnadelbach, Ricardo Franco Cunha Moreira, Antonio Leandro da Silva Conceição, and André Pinto Lima. "Selection of Morphoagronomic Descriptors in Physalis angulata L. Using Multivariate Techniques." Journal of Agricultural Science 11, no. 1 (2018): 289. http://dx.doi.org/10.5539/jas.v11n1p289.

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This study aimed at selecting determinant morphoagronomic descriptors to characterize and evaluate Physalis angulata L. germplasm. Twelve quantitative and twenty-two qualitative descriptors were analyzed in six accessions of P. angulata coming from the physalis germplasm collection belonging to the State University of Feira de Santana-BA. The selection and discharge of quantitative descriptors was based on the direct selection and on the Singh method, while qualitative descriptors were analyzed through entropy. The statistic analyses were carried out using the GENES and R programs. Ten quantit

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Abou Nabout, Adnan. "Object Shape Recognition Using Wavelet Descriptors." Journal of Engineering 2013 (2013): 1–15. http://dx.doi.org/10.1155/2013/435628.

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The wavelet transform is a well-known signal analysis method in several engineering disciplines. In image processing and pattern recognition, the wavelet transform is used in many applications for image coding as well as feature extraction purposes. It can be used to describe a given object shape by wavelet descriptors (WD). Thus, it is used to recognize objects according to their contour shape by deriving a number of WD and comparing them with the WD of stored contour patterns. For our method, we use a periodical angle function derived from an extracted object contour. In order to apply the W

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41

Wang, W., J. E. Mottershead, and C. Mares. "Shape descriptors for mode-shape recognition and model updating." Journal of Physics: Conference Series 181 (August 1, 2009): 012004. http://dx.doi.org/10.1088/1742-6596/181/1/012004.

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Nanni, Loris, Alessandra Lumini, and Sheryl Brahnam. "Ensemble of shape descriptors for shape retrieval and classification." International Journal of Advanced Intelligence Paradigms 6, no. 2 (2014): 136. http://dx.doi.org/10.1504/ijaip.2014.062177.

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43

Guler, R. A., S. Tari, and G. Unal. "Landmarks inside the shape: Shape matching using image descriptors." Pattern Recognition 49 (January 2016): 79–88. http://dx.doi.org/10.1016/j.patcog.2015.07.013.

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44

Amanatiadis, A., V. G. Kaburlasos, A. Gasteratos, and S. E. Papadakis. "Evaluation of shape descriptors for shape-based image retrieval." IET Image Processing 5, no. 5 (2011): 493. http://dx.doi.org/10.1049/iet-ipr.2009.0246.

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Bartlett, Stuart John, Jean-Daniel Rüedi, Alasdair Craig, and Charles Fierz. "Assessment of techniques for analyzing snow crystals in two dimensions." Annals of Glaciology 48 (2008): 103–12. http://dx.doi.org/10.3189/172756408784700752.

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AbstractThree-dimensional (3-D) snow analysis techniques provide comprehensive and accurate snow microstructure data. Nevertheless, there remains a requirement for less elaborate methods for snow characterization, as numerical snow models such as SNOWPACK are presently based on two-dimensional (2-D) grain analysis. We present a detailed assessment of various methods and shape descriptors used for snow characterization from digitized images. Dendricity, the ratio of the square of grain perimeter to its area, allows distinction between new and old snow while sphericity distinguishes between face

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Ngom, Ndeye Fatou, Cheikh H. T. C. Ndiaye, Oumar Niang, and Samba Sidibe. "Shape Descriptors for Porous Media Analysis Using Computed Tomography Images." International Journal of Image and Graphics 18, no. 02 (2018): 1850011. http://dx.doi.org/10.1142/s0219467818500110.

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In this study, we propose a new framework for 3D porous media shape characterization using quantitative data driven shape descriptors. The main conceptual innovations are the introduction of shape descriptors based on geometrical parameters of the shape and empirical mode decomposition (EMD) of the shape skeleton. The EMD yields a decomposition with intrinsic mode functions based on local properties of the skeleton. Efficient methods for computing the defined descriptors from a network of balls representation of the pore space are provided. A multivariate analysis is carried out to describe th

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Balázs, Péter, and Sara Brunetti. "A Comparative Study of Descriptors for Quadrant-Convexity." Mathematics 13, no. 13 (2025): 2114. https://doi.org/10.3390/math13132114.

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Many different descriptors have been proposed to measure the convexity of digital shapes. Most of these are based on the definition of continuous convexity and exhibit both advantages and drawbacks when applied in the digital domain. In contrast, within the field of Discrete Tomography, a special type of convexity—called Quadrant-convexity—has been introduced. This form of convexity naturally arises from the pixel-based representation of digital shapes and demonstrates favorable properties for reconstruction from projections. In this paper, we present an overview of using Quadrant-convexity as

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Jin, Mingda, and Wei Shao. "Crater Triangle Matching Algorithm Based on Fused Geometric and Regional Features." Aerospace 11, no. 6 (2024): 417. http://dx.doi.org/10.3390/aerospace11060417.

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Craters are regarded as significant navigation landmarks during the descent and landing process in small body exploration missions for their universality. Recognizing and matching craters is a crucial prerequisite for visual and LIDAR-based navigation tasks. Compared to traditional algorithms, deep learning-based crater detection algorithms can achieve a higher recognition rate. However, matching crater detection results under various image transformations still poses challenges. To address the problem, a composite feature-matching algorithm that combines geometric descriptors and region descr

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Unlu, Eren, Emmanuel Zenou, and Nicolas Riviere. "Using Shape Descriptors for UAV Detection." Electronic Imaging 2018, no. 9 (2018): 128–1. http://dx.doi.org/10.2352/issn.2470-1173.2018.09.srv-128.

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El-ghazal, A., O. Basir, and S. Belkasim. "Invariant curvature-based Fourier shape descriptors." Journal of Visual Communication and Image Representation 23, no. 4 (2012): 622–33. http://dx.doi.org/10.1016/j.jvcir.2012.01.011.

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