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Relevant bibliographies by topics / Segmentation approach

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Academic literature on the topic 'Segmentation approach'

Author: Grafiati

Published: 28 May 2022

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Journal articles on the topic "Segmentation approach"

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Solanki, Bharatsinh P., Dhaval Sathawara, and Pinky Brahmbhatt. "Level Set Approach to Image Segmentation." International Journal of Scientific Research 2, no. 5 (2012): 110–13. http://dx.doi.org/10.15373/22778179/may2013/40.

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Schmidt-Richberg, A., J. Fiehler, T. Illies, et al. "Automatic Correction of Gaps in Cerebrovascular Segmentations Extracted from 3D Time-of-Flight MRA Datasets." Methods of Information in Medicine 51, no. 05 (2012): 415–22. http://dx.doi.org/10.3414/me11-02-0037.

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Summary Objectives: Exact cerebrovascular segmentations are required for several applications in today’s clinical routine. A major drawback of typical automatic segmentation methods is the occurrence of gaps within the segmentation. These gaps are typically located at small vessel structures exhibiting low intensities. Manual correction is very time-consuming and not suitable in clinical practice. This work presents a post-processing method for the automatic detection and closing of gaps in cerebrovascular segmentations. Methods: In this approach, the 3D centerline is calculated from an availa

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Patel, Miki K., and Mitula H. Pandya. "Adaptive Pillar K-Mean Approach for Image Segmentation." International Journal of Scientific Research 2, no. 6 (2012): 199–201. http://dx.doi.org/10.15373/22778179/june2013/63.

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Platero, Carlos, and M. Carmen Tobar. "A Multiatlas Segmentation Using Graph Cuts with Applications to Liver Segmentation in CT Scans." Computational and Mathematical Methods in Medicine 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/182909.

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An atlas-based segmentation approach is presented that combines low-level operations, an affine probabilistic atlas, and a multiatlas-based segmentation. The proposed combination provides highly accurate segmentation due to registrations and atlas selections based on the regions of interest (ROIs) and coarse segmentations. Our approach shares the following common elements between the probabilistic atlas and multiatlas segmentation: (a) the spatial normalisation and (b) the segmentation method, which is based on minimising a discrete energy function using graph cuts. The method is evaluated for

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G, Mohandass, Hari Krishnan G, and Hemalatha R J. "An approach to automated retinal layer segmentation in SDOCT images." International Journal of Engineering & Technology 7, no. 2.25 (2018): 56. http://dx.doi.org/10.14419/ijet.v7i2.25.12371.

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The optical coherence tomography (OCT) imaging technique is a precise and well-known approach to the diagnosis of retinal layers. The pathological changes in the retina challenge the accuracy of computational segmentation approaches in the evaluation and identification of defects in the boundary layer. The layer segmentations and boundary detections are distorted by noise in the computation. In this work, we propose a fully automated segmentation algorithm using a denoising technique called the Boisterous Obscure Ratio (BOR) for human and mammal retina. First, the BOR is derived using noise de

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Amelio, Alessia, and Clara Pizzuti. "An Evolutionary Approach for Image Segmentation." Evolutionary Computation 22, no. 4 (2014): 525–57. http://dx.doi.org/10.1162/evco_a_00115.

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The paper explores the use of evolutionary techniques in dealing with the image segmentation problem. An image is modeled as a weighted undirected graph, where nodes correspond to pixels, and edges connect similar pixels. A genetic algorithm that uses a fitness function based on an extension of the normalized cut criterion is proposed. The algorithm employs the locus-based representation of individuals, which allows for the partitioning of images without setting the number of segments beforehand. A new concept of nearest neighbor that takes into account not only the spatial location of a pixel

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Saker, Halima, Rainer Machné, Jörg Fallmann, Douglas B. Murray, Ahmad M. Shahin, and Peter F. Stadler. "Weighted Consensus Segmentations." Computation 9, no. 2 (2021): 17. http://dx.doi.org/10.3390/computation9020017.

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The problem of segmenting linearly ordered data is frequently encountered in time-series analysis, computational biology, and natural language processing. Segmentations obtained independently from replicate data sets or from the same data with different methods or parameter settings pose the problem of computing an aggregate or consensus segmentation. This Segmentation Aggregation problem amounts to finding a segmentation that minimizes the sum of distances to the input segmentations. It is again a segmentation problem and can be solved by dynamic programming. The aim of this contribution is (

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Warfield, Simon K., Kelly H. Zou, and William M. Wells. "Validation of image segmentation by estimating rater bias and variance." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366, no. 1874 (2008): 2361–75. http://dx.doi.org/10.1098/rsta.2008.0040.

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The accuracy and precision of segmentations of medical images has been difficult to quantify in the absence of a ‘ground truth’ or reference standard segmentation for clinical data. Although physical or digital phantoms can help by providing a reference standard, they do not allow the reproduction of the full range of imaging and anatomical characteristics observed in clinical data. An alternative assessment approach is to compare with segmentations generated by domain experts. Segmentations may be generated by raters who are trained experts or by automated image analysis algorithms. Typically

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SHIRVAIKAR, MUKUL V., and MOHAN M. TRIVEDI. "TEXTURE SEGMENTATION: AN UNSUPERVISED APPROACH." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 03, no. 04 (1995): 431–49. http://dx.doi.org/10.1142/s0218488595000220.

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The segmentation of scenes into perceptually meaningful partitions has been a basic problem in image understanding, especially when unsupervised methodology has been desired. A novel unsupervised segmentation approach based on texture is developed. The texture model is based on sets of gray level cooccurence (GLC) matrices rather than measures extracted from them. The algorithmic constituents for the segmentation scheme: choice of seed regions, normalized match distances between texture models, region homogeneity, and aggregation criteria are systematically developed. The unsupervised algorith

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Thomas, Fridtjof. "Statistical Approach to Road Segmentation." Journal of Transportation Engineering 129, no. 3 (2003): 300–308. http://dx.doi.org/10.1061/(asce)0733-947x(2003)129:3(300).

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Dissertations / Theses on the topic "Segmentation approach"

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Zahedi, Fariborz. "A systems approach to image segmentation." Thesis, University of Brighton, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260978.

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Kharlamov, Alexander Alexandrovitch. "Analytical approach towards supply chain segmentation." Master's thesis, Universidade de Aveiro, 2012. http://hdl.handle.net/10773/10724.

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Mestrado em Engenharia e Gestão Industrial<br>O tema da definição de estratégia da cadeia de abastecimento está a ganhar importância e não existe uma estratégia ideal. Consequentemente, de forma a ganhar vantagem competitiva sustentável as organizações devem escolher as estratégias de abastecimento mais adequadas tendo em conta as características quer da procura quer dos produtos alinhando a oferta com a procura. Para a definição do foco da tese, é feito um estudo bibliometrico da literatura. De seguida, definiu-se uma sequência de passos para a segmentação da cadeia de abastecimento e sua co

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Tkaczynski, Aaron. "Destination segmentation: a recommended two-step approach." University of Southern Queensland, Faculty of Business, 2009. http://eprints.usq.edu.au/archive/00006255/.

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[Abstract]Market segmentation has been identified in the tourism marketing literature as an effective tool that can be used by management to meet the needs of a market more efficiently and effectively. It has been widely used by researchers seeking to develop tourism segments. Historically, most segmentation studies have developed tourism profiles at a destination using 1) a visitor questionnaire survey developed from studies in the literature or 2) secondary data. Very little research has taken a stakeholder approach to destination segmentation, despite many authors arguing the importance of

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Hiziroglu, Abdulkadir. "A soft computing approach to customer segmentation." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.503072.

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Improper selection of segmentation variables and tools may have an effect on segmentation results and can cause a negative financial impact (Tsai & Chiu, 2004). With regards to the selection of segmentation variables, although general segmentation variables such as demographics are frequently utilised based on the assumption that customers with similar demographics and lifestyles tend to exhibit similar purchasing behaviours (Tsai & Chiu, 2004), it is believed the behavioural variables of customers are more suitable to use as segmentation bases (Hsieh, 2004). As far as segmentation techniques

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FERREIRA, RODRIGO DA SILVA. "A MULTISCALAR, MULTICRITERIA APPROACH FOR IMAGE SEGMENTATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2011. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=18290@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>O objetivo geral deste trabalho é avaliar o impacto relativo da utilização de atributos de forma na segmentação de imagens de diferentes características e classes de objeto distintas. Para tanto, uma extensão do método de Segmentação Multiresolução (Baatz00) foi proposta e implementada, permitindo que vários atributos de forma possam ser considerados no processo de crescimento de regiões. Para se selecionar a métrica usada na avaliação da qualidade da segmentação, oito métricas disponíveis na literatura foram consideradas. O dese

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Dokladal, Petr. "Grey-scale image segmentation : a topological approach." Marne-la-Vallée, 2000. http://www.theses.fr/2000MARN0065.

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Le domaine aborde par cette these concerne la segmentation des images en niveaux de gris. Deux approches principales et independantes ont ete exploitees : l'application des graphes a l'operateur h-minima pour une segmentation des images multi-classes et la segmentation basee sur la topologie appliquee a l'angiographie du foie par tomographie. Une presentation des modeles mathematiques existants, utilises pour modeliser la topologie est faite dans un premier temps. Les modeles presentes sont discutes du point de vue de leurs applications a la segmentation d'images. La methode des h-minima est u

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BINDER, THOMAS. "Gland Segmentation with Convolutional Neural Networks : Validity of Stroma Segmentation as a General Approach." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-246134.

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The analysis of glandular morphology within histopathology images is a crucial step in determining the stage of cancer. Manual annotation is a very laborious task. It is time consuming and suffers from the subjectivity of the specialists that label the glands. One of the aims of computational pathology is developing tools to automate gland segmentation. Such an algorithm would improve the efficiency of cancer diag- nosis. This is a complex task as there is a large variability in glandular morphologies and staining techniques. So far, specialised models have given promising results focusing on

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Stein, Andrew Neil. "Adaptive image segmentation and tracking : a Bayesian approach." Thesis, Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/13397.

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Zhang, Dong. "An evolutionary approach to automatic Chinese text segmentation." Thesis, University of London, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.580661.

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Textual information written in Chinese now represents a huge knowledge repository. The first step of managing and processing information in written Chinese text is segmentation. The thesis investigates three main issues in Chinese text segmentation: word frequency estimation, ambiguity resolution, and unknown word identification. The latter two issues are addressed in the same segmentation process. Defining Chinese word is a very difficult task. This makes estimating the correct word frequency a challenging task. A main source to obtain the frequencies of words is by constructing Chinese corpu

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Wheeler, Glenn (Glenn Martin) Carleton University Dissertation Sociology. "Part-time work in Canada : a segmentation approach." Ottawa, 1990.

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Books on the topic "Segmentation approach"

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Developing effective communications strategy: A benefit segmentation approach. Wiley, 1985.

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Helmut, Strasser, ed. A nonparametric approach to perceptions-based market segmentation: Foundations. Springer, 2000.

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Mazanec, Josef A., and Helmut Strasser. A Nonparametric Approach to Perceptions-Based Market Segmentation: Foundations. Springer Vienna, 2000. http://dx.doi.org/10.1007/978-3-7091-0543-6.

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Buchta, Christian, Sara Dolnicar, and Thomas Reutterer. A Nonparametric Approach to Perceptions-Based Market Segmentation: Applications. Springer Vienna, 2000. http://dx.doi.org/10.1007/978-3-7091-0549-8.

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McDonald, Malcolm. Market segmentation: A step-by-step approach to creating profitable market segments. Macmillan, 1994.

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Bucklin, Randolph E. Brand choice, purchase incidence, and segmentation: An integrated modeling approach. Marketing Science Institute, 1992.

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Bucklin, Randolph E. Brand choice, purchase incidence and segmentation: An integrated modeling approach. Marketing Science Institute, 1992.

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Lin, Meng-Yen. Assessing market segmentation success: Developing a plan, fieldwork, action approach. typescript, 1996.

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Kearney, A. T. Wholesale banking segmentation: A four-stage approach to market sophistication. A. T. Kearney, 1997.

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King, Andrew P. A multiresolution approach to image segmentation and 2-D shape recognition. typescript, 1996.

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Book chapters on the topic "Segmentation approach"

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Shotton, Jamie, and Pushmeet Kohli. "Semantic Image Segmentation: Traditional Approach." In Computer Vision. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-03243-2_251-1.

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Guada, Carely, Daniel Gómez, J. Tinguaro Rodríguez, Javier Yáñez, and Javier Montero. "Graph Approach in Image Segmentation." In Advances in Fuzzy Logic and Technology 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66824-6_18.

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Shotton, Jamie, and Pushmeet Kohli. "Semantic Image Segmentation: Traditional Approach." In Computer Vision. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63416-2_251.

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Batra, Dhruv, Adarsh Kowdle, Devi Parikh, Jiebo Luo, and Tsuhan Chen. "An Approach to Interactive Co-segmentation." In Interactive Co-segmentation of Objects in Image Collections. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1915-0_2.

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Haus, Goffredo, and Luca A. Ludovico. "Music Segmentation: An XML-oriented Approach." In Computer Music Modeling and Retrieval. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31807-1_24.

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Tiwari, Sudha, and S. M. Ghosh. "Segmentation Techniques Using Soft Computing Approach." In New Trends in Computational Vision and Bio-inspired Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41862-5_141.

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Succi, Antonio, and Vincent Torre. "A new approach to image segmentation." In Image Analysis and Processing. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60298-4_231.

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Haindl, Michal, and Stanislav Mikeš. "Colour Texture Segmentation Using Modelling Approach." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552499_54.

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Kolář, Radim, and Jiří Kozumplík. "Fuzzy Approach in Ultrasound Image Segmentation." In Computational Intelligence. Theory and Applications. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45493-4_92.

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Sinclair, D., Andrew Blake, Paul Beardsley, and David Murray. "A Novel Approach to Motion Segmentation." In BMVC91. Springer London, 1991. http://dx.doi.org/10.1007/978-1-4471-1921-0_54.

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Conference papers on the topic "Segmentation approach"

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HE, XueJian, Ping Shun Leung, and Lu Wang. "Renal Tumor Segmentation in CT using Cascade U-Net with 2.5D approach." In 2019 Kidney Tumor Segmentation Challenge: KiTS19. University of Minnesota Libraries Publishing, 2019. http://dx.doi.org/10.24926/548719.034.

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Stankevicius, Evaldas, and Kristina Kundeliene. "Theoretical Approach to Taxpayers’ Segmentation." In Contemporary Issues in Business, Management and Education. Vilnius Gediminas Technical University, 2017. http://dx.doi.org/10.3846/cbme.2017.067.

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Current taxpayers’ segmentation is relatively limited and static. The existing segmentation problem, which is related to the taxpayers ‘behaviour, requires modern segmentation-analysis methods and models, which would evaluate the change of economic and psychographic taxpayers‘indicators. Purpose of the study: to provide conceptual taxpayers’ segmentation model, which allows to classify and analyse them according to the taxpayers’ behaviour and known legal facts. Research is based on analytical approach, there were invoked a systemic, logical and comparative analysis of scientific literature. F

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Santini, Gianmarco, Noémie Moreau, and Mathieu Rubeaux. "Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge." In 2019 Kidney Tumor Segmentation Challenge: KiTS19. University of Minnesota Libraries Publishing, 2019. http://dx.doi.org/10.24926/548719.023.

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Wang, Bin, Guojun Qi, Sheng Tang, et al. "Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/508.

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Semantic segmentation suffers from the fact that densely annotated masks are expensive to obtain. To tackle this problem, we aim at learning to segment by only leveraging scribbles that are much easier to collect for supervision. To fully explore the limited pixel-level annotations from scribbles, we present a novel Boundary Perception Guidance (BPG) approach, which consists of two basic components, i.e., prediction refinement and boundary regression. Specifically, the prediction refinement progressively makes a better segmentation by adopting an iterative upsampling and a semantic feature enh

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Bao, Feilong, Guanglai Gao, Xueliang Yan, and Weihua Wang. "Segmentation-based Mongolian LVCSR approach." In ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2013. http://dx.doi.org/10.1109/icassp.2013.6639250.

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Bertrand, Gilles, Jean-Christophe Everat, and Michel Couprie. "Topological approach to image segmentation." In SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, edited by Robert A. Melter, Angela Y. Wu, and Longin J. Latecki. SPIE, 1996. http://dx.doi.org/10.1117/12.251813.

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Li, Xiaojun, Weiqiang Wang, Qingming Huang, Wen Gao, and Laiyun Qing. "A hybrid text segmentation approach." In 2009 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2009. http://dx.doi.org/10.1109/icme.2009.5202545.

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Legal-Ayala, Horacio A., and Jacques Facon. "Unified approach for document segmentation." In SPIE Proceedings, edited by Aristides Marcano O. and Jose Luis Paz. SPIE, 2004. http://dx.doi.org/10.1117/12.591675.

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Tian, Yan, Hongbo Xu, and Jianguo Liu. "Variational approach to image segmentation." In Multispectral Image Processing and Pattern Recognition, edited by Tianxu Zhang, Bir Bhanu, and Ning Shu. SPIE, 2001. http://dx.doi.org/10.1117/12.441433.

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Gomai, Abdu, A. El-Zaart, and H. Mathkour. "An efficient iris segmentation approach." In 2011 International Conference on Graphic and Image Processing. SPIE, 2011. http://dx.doi.org/10.1117/12.913446.

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Reports on the topic "Segmentation approach"

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Koop, L., M. Snellen, and D. Simons. Classifying the seafloor using a textural segmentation approach. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305875.

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Fitzpatrick, P. First Contact: an Active Vision Approach to Segmentation. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada434680.

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Burks, Thomas F., Victor Alchanatis, and Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, 2009. http://dx.doi.org/10.32747/2009.7591739.bard.

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The proposed project aims to enhance tree fruit identification and targeting for robotic harvesting through the selection of appropriate sensor technology, sensor fusion, and visual servo-control approaches. These technologies will be applicable for apple, orange and grapefruit harvest, although specific sensor wavelengths may vary. The primary challenges are fruit occlusion, light variability, peel color variation with maturity, range to target, and computational requirements of image processing algorithms. There are four major development tasks in original three-year proposed study. First, s

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