Literatura académica sobre el tema "FUZZY THRESHOLDING AND ANR"
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Artículos de revistas sobre el tema "FUZZY THRESHOLDING AND ANR"
Nobuhara, Hajime y Kaoru Hirota. "A Fuzzification of Morphological Wavelets Based on Fuzzy Relational Calculus and its Application to Image Compression/Reconstruction". Journal of Advanced Computational Intelligence and Intelligent Informatics 8, n.º 4 (20 de julio de 2004): 373–78. http://dx.doi.org/10.20965/jaciii.2004.p0373.
Texto completoPal, Sankar K. y Ambarish Dasgupta. "Spectral fuzzy sets and soft thresholding". Information Sciences 65, n.º 1-2 (1 de noviembre de 1992): 65–97. http://dx.doi.org/10.1016/0020-0255(92)90078-m.
Texto completoBhandari, Dinabandhu, Nikhil R. Pal y D. Dutta Majumder. "Fuzzy divergence, probability measure of fuzzy events and image thresholding". Pattern Recognition Letters 13, n.º 12 (diciembre de 1992): 857–67. http://dx.doi.org/10.1016/0167-8655(92)90085-e.
Texto completoSowjanya, Kotte, Munazzar Ajreen, Paka Sidharth, Kakara Sriharsha y Lade Aishwarya Rao. "Fuzzy thresholding technique for multiregion picture division". International Research Journal on Advanced Science Hub 4, n.º 03 (29 de marzo de 2022): 45–50. http://dx.doi.org/10.47392/irjash.2022.011.
Texto completoTizhoosh, Hamid R. "Image thresholding using type II fuzzy sets". Pattern Recognition 38, n.º 12 (diciembre de 2005): 2363–72. http://dx.doi.org/10.1016/j.patcog.2005.02.014.
Texto completoBogiatzis, Athanasios y Basil Papadopoulos. "Global Image Thresholding Adaptive Neuro-Fuzzy Inference System Trained with Fuzzy Inclusion and Entropy Measures". Symmetry 11, n.º 2 (22 de febrero de 2019): 286. http://dx.doi.org/10.3390/sym11020286.
Texto completoCHENG, H. D., YANHUI GUO y YINGTAO ZHANG. "A NOVEL APPROACH TO IMAGE THRESHOLDING BASED ON 2D HOMOGENEITY HISTOGRAM AND MAXIMUM FUZZY ENTROPY". New Mathematics and Natural Computation 07, n.º 01 (marzo de 2011): 105–33. http://dx.doi.org/10.1142/s1793005711001834.
Texto completoShark, L. K. y C. Yu. "Denoising by optimal fuzzy thresholding in wavelet domain". Electronics Letters 36, n.º 6 (2000): 581. http://dx.doi.org/10.1049/el:20000451.
Texto completoLi, Linguo, Xuwen Huang, Shunqiang Qian, Zhangfei Li, Shujing Li y Romany F. Mansour. "Fuzzy Hybrid Coyote Optimization Algorithm for Image Thresholding". Computers, Materials & Continua 72, n.º 2 (2022): 3073–90. http://dx.doi.org/10.32604/cmc.2022.026625.
Texto completoBarrenechea, E., H. Bustince, M. J. Campión, E. Induráin y V. Knoblauch. "Topological interpretations of fuzzy subsets. A unified approach for fuzzy thresholding algorithms". Knowledge-Based Systems 54 (diciembre de 2013): 163–71. http://dx.doi.org/10.1016/j.knosys.2013.09.008.
Texto completoTesis sobre el tema "FUZZY THRESHOLDING AND ANR"
Zhao, Mansuo. "Image Thresholding Technique Based On Fuzzy Partition And Entropy Maximization". University of Sydney. School of Electrical and Information Engineering, 2005. http://hdl.handle.net/2123/699.
Texto completoZhao, Mansuo. "Image Thresholding Technique Based On Fuzzy Partition And Entropy Maximization". Thesis, The University of Sydney, 2004. http://hdl.handle.net/2123/699.
Texto completoAlmotiri, Jasem. "A Multi-Anatomical Retinal Structure Segmentation System for Automatic Eye Screening Using Morphological Adaptive Fuzzy Thresholding". Thesis, University of Bridgeport, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10975223.
Texto completoEye exam can be as efficacious as physical one in determining health concerns. Retina screening can be the very first clue to detecting a variety of hidden health issues including pre-diabetes and diabetes. Through the process of clinical diagnosis and prognosis; ophthalmologists rely heavily on the binary segmented version of retina fundus image; where the accuracy of segmented vessels, optic disc and abnormal lesions extremely affects the diagnosis accuracy which in turn affect the subsequent clinical treatment steps. This thesis proposes an automated retinal fundus image segmentation system composed of three segmentation subsystems follow same core segmentation algorithm. Despite of broad difference in features and characteristics; retinal vessels, optic disc and exudate lesions are extracted by each subsystem without the need for texture analysis or synthesis. For sake of compact diagnosis and complete clinical insight, our proposed system can detect these anatomical structures in one session with high accuracy even in pathological retina images.
The proposed system uses a robust hybrid segmentation algorithm combines adaptive fuzzy thresholding and mathematical morphology. The proposed system is validated using four benchmark datasets: DRIVE and STARE (vessels), DRISHTI-GS (optic disc), and DIARETDB1 (exudates lesions). Competitive segmentation performance is achieved, outperforming a variety of up-to-date systems and demonstrating the capacity to deal with other heterogenous anatomical structures.
Al-Azawi, Mohammad Ali Naji Said. "A new approach to automatic saliency identification in images based on irregularity of regions". Thesis, De Montfort University, 2015. http://hdl.handle.net/2086/11122.
Texto completoČambalová, Kateřina. "Volné algebraické struktury a jejich využití pro segmentaci digitálního obrazu". Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-231711.
Texto completoSNEKHA. "GENETIC ALGORITHM BASED ECG SIGNAL DE-NOISING USING EEMD AND FUZZY THRESHOLDING". Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15346.
Texto completoTanjung, Guntur. "A study on image change detection methods for multiple images of the same scene acquired by a mobile camera". 2010. http://hdl.handle.net/2440/60533.
Texto completohttp://proxy.library.adelaide.edu.au/login?url= http://library.adelaide.edu.au/cgi-bin/Pwebrecon.cgi?BBID=1522689
Thesis (Ph.D.) -- University of Adelaide, School of Mechanical Engineering, 2010
Tanjung, Guntur. "A study on image change detection methods for multiple images of the same scene acquired by a mobile camera". Thesis, 2010. http://hdl.handle.net/2440/60533.
Texto completoThesis (Ph.D.) -- University of Adelaide, School of Mechanical Engineering, 2010
Ensafi, Pegah. "Weighted Opposition-Based Fuzzy Thresholding". Thesis, 2011. http://hdl.handle.net/10012/5796.
Texto completoBai, Rong. "Wavelet Shrinkage Based Image Denoising using Soft Computing". Thesis, 2008. http://hdl.handle.net/10012/3876.
Texto completoCapítulos de libros sobre el tema "FUZZY THRESHOLDING AND ANR"
Forero-Vargas, Manuel Guillermo. "Fuzzy Thresholding and Histogram Analysis". En Fuzzy Filters for Image Processing, 129–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-36420-7_6.
Texto completoOh, Jun-Taek y Wook-Hyun Kim. "EWFCM Algorithm and Region-Based Multi-level Thresholding". En Fuzzy Systems and Knowledge Discovery, 864–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11881599_107.
Texto completoLi, Jianli, Bingbin Dai, Kai Xiao y Aboul Ella Hassanien. "Density Based Fuzzy Thresholding for Image Segmentation". En Communications in Computer and Information Science, 118–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35326-0_13.
Texto completoRoy, Sudipta, Nidul Sinha y Asoke Kr Sen. "Fuzzy Soft Thresholding Based Hybrid Denoising Model". En Advances in Digital Image Processing and Information Technology, 1–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24055-3_1.
Texto completoKubicek, Jan, Marek Penhaker, Iveta Bryjova y Martin Augustynek. "Classification Method for Macular Lesions Using Fuzzy Thresholding Method". En XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016, 239–44. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32703-7_48.
Texto completoBruzzese, D. y U. Giani. "Automatic Multilevel Thresholding Based on a Fuzzy Entropy Measure". En Classification and Multivariate Analysis for Complex Data Structures, 125–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13312-1_12.
Texto completoVlachos, Ioannis K. y George D. Sergiadis. "An Automated Image Thresholding Scheme for Highly Contrast-Degraded Images Based on a-Order Fuzzy Entropy". En Fuzzy Logic and Applications, 332–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/10983652_40.
Texto completoMoreno, Ginés, Jaime Penabad, José A. Riaza y Germán Vidal. "Symbolic Execution and Thresholding for Efficiently Tuning Fuzzy Logic Programs". En Logic-Based Program Synthesis and Transformation, 131–47. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63139-4_8.
Texto completoTao, Li-Li, Yu-Ying Zhou, Miao Ma y Kai-Fang Yang. "Multilevel Thresholding Image Segmentation Based on Extension of Artificial Raindrop Algorithm". En Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery, 1472–79. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70665-4_159.
Texto completoSarkar, S., S. Paul, R. Burman, S. Das y S. S. Chaudhuri. "A Fuzzy Entropy Based Multi-Level Image Thresholding Using Differential Evolution". En Swarm, Evolutionary, and Memetic Computing, 386–95. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20294-5_34.
Texto completoActas de conferencias sobre el tema "FUZZY THRESHOLDING AND ANR"
Wu, Weishu, Changxi Yang, Scott Campbell y Pochi Yeh. "A Photorefractive Optical Fuzzy Logic Processor". En Optical Computing. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/optcomp.1995.otue10.
Texto completoThakkar, Mehul y Hitesh Shah. "Edge detection techniques using fuzzy thresholding". En 2011 World Congress on Information and Communication Technologies (WICT). IEEE, 2011. http://dx.doi.org/10.1109/wict.2011.6141263.
Texto completoIchihashi, Hidetomo, Toshiro Ogita, Katsuhiro Honda y Akira Notsu. "Improvement by sorting and thresholding in PCA based nearest neighbor search". En 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2012. http://dx.doi.org/10.1109/fuzz-ieee.2012.6250773.
Texto completoOthman, A., H. R. Tizhoosh y F. Khalvati. "Self-Configuring and Evolving Fuzzy Image Thresholding". En 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA). IEEE, 2015. http://dx.doi.org/10.1109/icmla.2015.130.
Texto completoDash, Ajaya Kumar y Banshidhar Majhi. "Image segmentation using fuzzy based histogram thresholding". En 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). IEEE, 2015. http://dx.doi.org/10.1109/spices.2015.7091443.
Texto completoRajesh, R., N. Senthilkumaran, J. Satheeshkumar, B. Shanmuga Priya, C. Thilagavathy y K. Priya. "On the type-1 and type-2 fuzziness measures for thresholding MRI brain images". En 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007444.
Texto completoCheng, Heng-Da y Yen-Hung Chen. "Novel fuzzy entropy approach to thresholding and enhancement". En Medical Imaging '98, editado por Kenneth M. Hanson. SPIE, 1998. http://dx.doi.org/10.1117/12.310977.
Texto completoThakkar, Mehul y Hitesh Shah. "Automatic thresholding in edge detection using fuzzy approach". En 2010 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2010. http://dx.doi.org/10.1109/iccic.2010.5705868.
Texto completoAmaral, T. G., M. M. Crisostomo y A. Traca de Almeida. "Image thresholding by minimisation of fuzzy compactness and linear index of fuzziness". En Proceedings of 8th International Fuzzy Systems Conference. IEEE, 1999. http://dx.doi.org/10.1109/fuzzy.1999.793111.
Texto completoWu, Jianhua, Zhaoyu Pian, Li Guo, Kun Wang y Liqun Gao. "Medical Image Thresholding Algorithm Based on Fuzzy sets Theory". En 2007 2nd IEEE Conference on Industrial Electronics and Applications. IEEE, 2007. http://dx.doi.org/10.1109/iciea.2007.4318543.
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