Literatura científica selecionada sobre o tema "Segmentation texture"
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Artigos de revistas sobre o assunto "Segmentation texture"
Volkova, Natalya P., e Viktor N. Krylov. "VECTOR-DIFFERENCE TEXTURE SEGMENTATION METHOD IN TECHNICAL AND MEDICAL EXPRESS DIAGNOSTIC SYSTEMS". Herald of Advanced Information Technology 3, n.º 4 (20 de novembro de 2020): 226–39. http://dx.doi.org/10.15276/hait.04.2020.2.
Texto completo da fonteSong, Andy, e Vic Ciesielski. "Texture Segmentation by Genetic Programming". Evolutionary Computation 16, n.º 4 (dezembro de 2008): 461–81. http://dx.doi.org/10.1162/evco.2008.16.4.461.
Texto completo da fonteSoares, Lucas de Assis, Klaus Fabian Côco, Patrick Marques Ciarelli e Evandro Ottoni Teatini Salles. "A Class-Independent Texture-Separation Method Based on a Pixel-Wise Binary Classification". Sensors 20, n.º 18 (22 de setembro de 2020): 5432. http://dx.doi.org/10.3390/s20185432.
Texto completo da fonteRosenholtz, R. "What Statistics Determine Segmentation of Orientation-Defined Textures?" Perception 26, n.º 1_suppl (agosto de 1997): 331. http://dx.doi.org/10.1068/v970074.
Texto completo da fonteWang, Guodong, Zhenkuan Pan, Qian Dong, Ximei Zhao, Zhimei Zhang e Jinming Duan. "Unsupervised Texture Segmentation Using Active Contour Model and Oscillating Information". Journal of Applied Mathematics 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/614613.
Texto completo da fonteKinge, Sanjaykumar, B. Sheela Rani e Mukul Sutaone. "Restored texture segmentation using Markov random fields". Mathematical Biosciences and Engineering 20, n.º 6 (2023): 10063–89. http://dx.doi.org/10.3934/mbe.2023442.
Texto completo da fonteGoyal, Aparna, e Reena Gunjan. "Bleeding Detection in Gastrointestinal Images using Texture Classification and Local Binary Pattern Technique: A Review". E3S Web of Conferences 170 (2020): 03007. http://dx.doi.org/10.1051/e3sconf/202017003007.
Texto completo da fonteAnjaiah, P., K. Rajendra Prasad e C. Raghavendra. "Effective Texture Features for Segmented Mammogram Images". International Journal of Engineering & Technology 7, n.º 3.12 (20 de julho de 2018): 666. http://dx.doi.org/10.14419/ijet.v7i3.12.16450.
Texto completo da fonteTripathi, Bharat, Nidhi Srivastava e Amod Kumar Tiwari. "Innovative quaternion algebra-based segmentation for improved jpeg color texture analysis". Journal of Autonomous Intelligence 7, n.º 5 (10 de abril de 2024): 1499. http://dx.doi.org/10.32629/jai.v7i5.1499.
Texto completo da fonteManokhin, Denys, e Yaroslav Sokolovskyy. "Intracranial Hemorrhage Segmentation using Neural Network and Riesz Fractional Order Derivative-Based Texture Enhancement". Computer Design Systems. Theory and Practice 6, n.º 1 (2024): 1–16. http://dx.doi.org/10.23939/cds2024.01.001.
Texto completo da fonteTeses / dissertações sobre o assunto "Segmentation texture"
Camilleri, Kenneth P. "Multiresolution texture segmentation". Thesis, University of Surrey, 1999. http://epubs.surrey.ac.uk/843549/.
Texto completo da fonteReyes-Aldasoro, Constantino Carlos. "Multiresolution volumetric texture segmentation". Thesis, University of Warwick, 2004. http://wrap.warwick.ac.uk/67756/.
Texto completo da fonteLinnett, L. M. "Multi-texture image segmentation". Thesis, Heriot-Watt University, 1991. http://hdl.handle.net/10399/856.
Texto completo da fontePorter, Robert Mark Stefan. "Texture classification and segmentation". Thesis, University of Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389032.
Texto completo da fonteHaddad, Stephen. "Texture measures for segmentation". Master's thesis, University of Cape Town, 2007. http://hdl.handle.net/11427/7461.
Texto completo da fonteTexture is an important visual cue in both human and computer vision. Segmenting images into regions of constant texture is used in many applications. This work surveys a wide range of texture descriptors and segmentation methods to determine the state of the art in texture segmentation. Two types of texture descriptors are investigated: filter bank based methods and local descriptors. Filter banks deconstruct an image into several bands, each of which emphasises areas of the image with different properties. Textons are an adaptive histogram method which describes the distribution of typical feature vectors. Local descriptors calculate features from smaller neighbourhoods than filter banks. Some local descriptors calculate a scale for their local neighbourhood to achieve scale invariance. Both local and global segmentation methods are investigated. Local segmentation methods consider each pixel in isolation. Global segmentation methods penalise jagged borders or fragmented regions in the segmentation. Pixel labelling and border detection methods are investigated. Methods for measuring the accuracy of segmentation are discussed. Two data sets are used to test the texture segmentation algorithms. The Brodatz Album mosaics are composed of grayscale texture images from the Brodatz Album. The Berkeley Natural Images data set has 300 colour images of natural scenes. The tests show that, of the descriptors tested, filter bank based textons are the best texture descriptors for grayscale images. Local image patch textons are best for colour images. Graph cut segmentation is best for pixel labelling problems and edge detection with regular borders. Non-maxima suppression is best for edge detection with irregular borders. Factors affecting the performance of the algorithms are investigated.
Pongratananukul, Nattorn. "Texture Segmentation Using Fractal Features". Honors in the Major Thesis, University of Central Florida, 2000. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/677.
Texto completo da fonteBachelors
Engineering
Electrical Engineering
Wen, Wen. "Computational texture analysis and segmentation". Thesis, University of Strathclyde, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358812.
Texto completo da fontePandit, Sanjay. "Texture segmentation by global optimization". Thesis, University of Surrey, 1999. http://epubs.surrey.ac.uk/843855/.
Texto completo da fonteTan, Tieniu. "Image texture analysis : classification and segmentation". Thesis, Imperial College London, 1990. http://hdl.handle.net/10044/1/8697.
Texto completo da fonteXie, Zhi-Yan. "Multi-scale analysis and texture segmentation". Thesis, University of Oxford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260776.
Texto completo da fonteLivros sobre o assunto "Segmentation texture"
Camilleri, K. P. Approaches to unsupervised texture segmentation. [Guildford: Department of Electronic & Electrical Engineering, University of Surrey, 1997.
Encontre o texto completo da fonteSpann, Michael. Texture description and segmentation in image processing. Birmingham: University of Aston. Department of Electrical and Electronic Engineering, 1985.
Encontre o texto completo da fonteFatemi-Ghomi, N. Texture segmentation using wavelet packets and c-means fuzzy clustering. Guildford: Dept. of Electronic and Electrical Engineering, 1995.
Encontre o texto completo da fonteAnil, Phatak, Chatterji Gano e Ames Research Center, eds. Scene segmentation of natural images using texture measures and back-propagation. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.
Encontre o texto completo da fonteIntelmann, Steven S. Automated, objective texture segmentation of multibeam echosounder data: Seafloor survey and substrate maps from James Island to Ozette Lake, Washington outer coast. Silver Spring, Md: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, National Marine Sanctuary Program, 2007.
Encontre o texto completo da fonteJähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. Berlin: Springer-Verlag, 1991.
Encontre o texto completo da fonteRegt, L. J. de. Linguistic coherence in biblical Hebrew texts: Arrangement of information, participant reference devices, verb forms, and their contribution to textual segmentation and coherence. Piscataway, NJ: Gorgias Press LLC, 2019.
Encontre o texto completo da fonteJähne, Bernd. Digital image processing. 6a ed. Berlin: Springer, 2005.
Encontre o texto completo da fonteJähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. 4a ed. Berlin: Springer, 1997.
Encontre o texto completo da fonteJähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. 3a ed. Berlin: Springer-Verlag, 1995.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Segmentation texture"
Dana, Kristin J. "Texture Segmentation". In Computational Texture and Patterns, 25–37. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-01823-7_4.
Texto completo da fonteBajcsy, P., e N. Ahuja. "Hierarchical texture segmentation". In Computer Vision — ACCV'98, 291–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63931-4_229.
Texto completo da fonteHaindl, Michal. "Unsupervised texture segmentation". In Advances in Pattern Recognition, 1021–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0033333.
Texto completo da fonteZwiggelaar, Reyer, e Erika R. E. Denton. "Texture Based Segmentation". In Digital Mammography, 433–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11783237_58.
Texto completo da fontePietikäinen, Matti, Abdenour Hadid, Guoying Zhao e Timo Ahonen. "Texture Classification and Segmentation". In Computational Imaging and Vision, 69–79. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-748-8_4.
Texto completo da fonteWang, Yuzhong, Jie Yang e Yue Zhou. "Unsupervised Color-Texture Segmentation". In Lecture Notes in Computer Science, 106–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30125-7_14.
Texto completo da fonteHaindl, Michal, e Stanislav Mikeš. "Model-Based Texture Segmentation". In Lecture Notes in Computer Science, 306–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30126-4_38.
Texto completo da fonteHung, Chih-Cheng, Enmin Song e Yihua Lan. "Image Texture, Texture Features, and Image Texture Classification and Segmentation". In Image Texture Analysis, 3–14. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13773-1_1.
Texto completo da fonteJenicka, S. "Supervised Texture-Based Segmentation Using Basic Texture Models". In Land Cover Classification of Remotely Sensed Images, 73–88. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66595-1_4.
Texto completo da fonteRuiz-del-Solar, Javier, e Daniel Kottow. "Bio-inspired Texture Segmentation Architectures". In Biologically Motivated Computer Vision, 444–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45482-9_45.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Segmentation texture"
Turner, Mark R. "Gabor functions and textural segmentation". In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.wj38.
Texto completo da fonteMcKeekin, M. Sue, e William T. Rhodes. "Texture segmentation by threshold decomposition filtering". In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.thr2.
Texto completo da fonteDoretto, Cremers, Favaro e Soatto. "Dynamic texture segmentation". In ICCV 2003: 9th International Conference on Computer Vision. IEEE, 2003. http://dx.doi.org/10.1109/iccv.2003.1238632.
Texto completo da fonteHaindl, Michal, e Stanislav Mikes. "Texture segmentation benchmark". In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761118.
Texto completo da fonteBrown, C. David, Charles S. Ih, Gonzalo R. Arce e David A. Fertell. "Scene segmentation using laser projected structured light". In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.mm3.
Texto completo da fonteWilscy, M., e Remya K. Sasi. "Wavelet based Texture Segmentation". In 2010 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2010. http://dx.doi.org/10.1109/iccic.2010.5705877.
Texto completo da fonteBarilla, Maria E., Manuel G. Forero e Michael Spann. "Colour-based texture segmentation". In INFORMATION OPTICS: 5th International Workshop on Information Optics (WIO'06). AIP, 2006. http://dx.doi.org/10.1063/1.2361244.
Texto completo da fonteZhan, De-Chen, Xuan-Jing Shen, Jing-Chun Chen e Zhong-Rong Li. "Fast texture image segmentation". In San Diego '90, 8-13 July, editado por Andrew G. Tescher. SPIE, 1990. http://dx.doi.org/10.1117/12.23536.
Texto completo da fonteTodorovic, Sinisa, e Narendra Ahuja. "Texel-based texture segmentation". In 2009 IEEE 12th International Conference on Computer Vision (ICCV). IEEE, 2009. http://dx.doi.org/10.1109/iccv.2009.5459308.
Texto completo da fonteGiraud, Remi, Vinh-Thong Ta, Nicolas Papadakis e Yannick Berthoumieu. "Texture-Aware Superpixel Segmentation". In 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. http://dx.doi.org/10.1109/icip.2019.8803085.
Texto completo da fonteRelatórios de organizações sobre o assunto "Segmentation texture"
Du, Li-Jen. Segmentation of Synthetic Aperture Radar (SAR) Images of Ocean Surface by the Texture Energy Transform Method. Fort Belvoir, VA: Defense Technical Information Center, agosto de 1988. http://dx.doi.org/10.21236/ada199536.
Texto completo da fonteKoop, L., M. Snellen e 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.
Texto completo da fonteWard, Anderson, Gamal Seedahmend, Greg Anderson e Fred Zhang. Integration of Multi-Tension Permeametry and Photogrammetric Textural Segmentation for Estimating Directional Permeability. Fort Belvoir, VA: Defense Technical Information Center, abril de 2010. http://dx.doi.org/10.21236/ada571373.
Texto completo da fonte