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Статті в журналах з теми "FUZZY THRESHOLDING AND ANR"
Nobuhara, Hajime, and 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, no. 4 (July 20, 2004): 373–78. http://dx.doi.org/10.20965/jaciii.2004.p0373.
Повний текст джерелаPal, Sankar K., and Ambarish Dasgupta. "Spectral fuzzy sets and soft thresholding." Information Sciences 65, no. 1-2 (November 1, 1992): 65–97. http://dx.doi.org/10.1016/0020-0255(92)90078-m.
Повний текст джерелаBhandari, Dinabandhu, Nikhil R. Pal, and D. Dutta Majumder. "Fuzzy divergence, probability measure of fuzzy events and image thresholding." Pattern Recognition Letters 13, no. 12 (December 1992): 857–67. http://dx.doi.org/10.1016/0167-8655(92)90085-e.
Повний текст джерелаSowjanya, Kotte, Munazzar Ajreen, Paka Sidharth, Kakara Sriharsha, and Lade Aishwarya Rao. "Fuzzy thresholding technique for multiregion picture division." International Research Journal on Advanced Science Hub 4, no. 03 (March 29, 2022): 45–50. http://dx.doi.org/10.47392/irjash.2022.011.
Повний текст джерелаTizhoosh, Hamid R. "Image thresholding using type II fuzzy sets." Pattern Recognition 38, no. 12 (December 2005): 2363–72. http://dx.doi.org/10.1016/j.patcog.2005.02.014.
Повний текст джерелаBogiatzis, Athanasios, and Basil Papadopoulos. "Global Image Thresholding Adaptive Neuro-Fuzzy Inference System Trained with Fuzzy Inclusion and Entropy Measures." Symmetry 11, no. 2 (February 22, 2019): 286. http://dx.doi.org/10.3390/sym11020286.
Повний текст джерелаCHENG, H. D., YANHUI GUO, and YINGTAO ZHANG. "A NOVEL APPROACH TO IMAGE THRESHOLDING BASED ON 2D HOMOGENEITY HISTOGRAM AND MAXIMUM FUZZY ENTROPY." New Mathematics and Natural Computation 07, no. 01 (March 2011): 105–33. http://dx.doi.org/10.1142/s1793005711001834.
Повний текст джерелаShark, L. K., and C. Yu. "Denoising by optimal fuzzy thresholding in wavelet domain." Electronics Letters 36, no. 6 (2000): 581. http://dx.doi.org/10.1049/el:20000451.
Повний текст джерелаLi, Linguo, Xuwen Huang, Shunqiang Qian, Zhangfei Li, Shujing Li, and Romany F. Mansour. "Fuzzy Hybrid Coyote Optimization Algorithm for Image Thresholding." Computers, Materials & Continua 72, no. 2 (2022): 3073–90. http://dx.doi.org/10.32604/cmc.2022.026625.
Повний текст джерелаBarrenechea, E., H. Bustince, M. J. Campión, E. Induráin, and V. Knoblauch. "Topological interpretations of fuzzy subsets. A unified approach for fuzzy thresholding algorithms." Knowledge-Based Systems 54 (December 2013): 163–71. http://dx.doi.org/10.1016/j.knosys.2013.09.008.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаZhao, Mansuo. "Image Thresholding Technique Based On Fuzzy Partition And Entropy Maximization." Thesis, The University of Sydney, 2004. http://hdl.handle.net/2123/699.
Повний текст джерелаAlmotiri, 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.
Повний текст джерелаEye 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.
Повний текст джерелаČambalová, 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.
Повний текст джерелаSNEKHA. "GENETIC ALGORITHM BASED ECG SIGNAL DE-NOISING USING EEMD AND FUZZY THRESHOLDING." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15346.
Повний текст джерелаTanjung, 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.
Повний текст джерелаhttp://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.
Повний текст джерелаThesis (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.
Повний текст джерелаBai, Rong. "Wavelet Shrinkage Based Image Denoising using Soft Computing." Thesis, 2008. http://hdl.handle.net/10012/3876.
Повний текст джерелаЧастини книг з теми "FUZZY THRESHOLDING AND ANR"
Forero-Vargas, Manuel Guillermo. "Fuzzy Thresholding and Histogram Analysis." In 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.
Повний текст джерелаOh, Jun-Taek, and Wook-Hyun Kim. "EWFCM Algorithm and Region-Based Multi-level Thresholding." In Fuzzy Systems and Knowledge Discovery, 864–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11881599_107.
Повний текст джерелаLi, Jianli, Bingbin Dai, Kai Xiao, and Aboul Ella Hassanien. "Density Based Fuzzy Thresholding for Image Segmentation." In 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.
Повний текст джерелаRoy, Sudipta, Nidul Sinha, and Asoke Kr Sen. "Fuzzy Soft Thresholding Based Hybrid Denoising Model." In 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.
Повний текст джерелаKubicek, Jan, Marek Penhaker, Iveta Bryjova, and Martin Augustynek. "Classification Method for Macular Lesions Using Fuzzy Thresholding Method." In 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.
Повний текст джерелаBruzzese, D., and U. Giani. "Automatic Multilevel Thresholding Based on a Fuzzy Entropy Measure." In 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.
Повний текст джерелаVlachos, Ioannis K., and George D. Sergiadis. "An Automated Image Thresholding Scheme for Highly Contrast-Degraded Images Based on a-Order Fuzzy Entropy." In Fuzzy Logic and Applications, 332–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/10983652_40.
Повний текст джерелаMoreno, Ginés, Jaime Penabad, José A. Riaza, and Germán Vidal. "Symbolic Execution and Thresholding for Efficiently Tuning Fuzzy Logic Programs." In 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.
Повний текст джерелаTao, Li-Li, Yu-Ying Zhou, Miao Ma, and Kai-Fang Yang. "Multilevel Thresholding Image Segmentation Based on Extension of Artificial Raindrop Algorithm." In 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.
Повний текст джерелаSarkar, S., S. Paul, R. Burman, S. Das, and S. S. Chaudhuri. "A Fuzzy Entropy Based Multi-Level Image Thresholding Using Differential Evolution." In Swarm, Evolutionary, and Memetic Computing, 386–95. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20294-5_34.
Повний текст джерелаТези доповідей конференцій з теми "FUZZY THRESHOLDING AND ANR"
Wu, Weishu, Changxi Yang, Scott Campbell, and Pochi Yeh. "A Photorefractive Optical Fuzzy Logic Processor." In Optical Computing. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/optcomp.1995.otue10.
Повний текст джерелаThakkar, Mehul, and Hitesh Shah. "Edge detection techniques using fuzzy thresholding." In 2011 World Congress on Information and Communication Technologies (WICT). IEEE, 2011. http://dx.doi.org/10.1109/wict.2011.6141263.
Повний текст джерелаIchihashi, Hidetomo, Toshiro Ogita, Katsuhiro Honda, and Akira Notsu. "Improvement by sorting and thresholding in PCA based nearest neighbor search." In 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2012. http://dx.doi.org/10.1109/fuzz-ieee.2012.6250773.
Повний текст джерелаOthman, A., H. R. Tizhoosh, and F. Khalvati. "Self-Configuring and Evolving Fuzzy Image Thresholding." In 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA). IEEE, 2015. http://dx.doi.org/10.1109/icmla.2015.130.
Повний текст джерелаDash, Ajaya Kumar, and Banshidhar Majhi. "Image segmentation using fuzzy based histogram thresholding." In 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). IEEE, 2015. http://dx.doi.org/10.1109/spices.2015.7091443.
Повний текст джерелаRajesh, R., N. Senthilkumaran, J. Satheeshkumar, B. Shanmuga Priya, C. Thilagavathy, and K. Priya. "On the type-1 and type-2 fuzziness measures for thresholding MRI brain images." In 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007444.
Повний текст джерелаCheng, Heng-Da, and Yen-Hung Chen. "Novel fuzzy entropy approach to thresholding and enhancement." In Medical Imaging '98, edited by Kenneth M. Hanson. SPIE, 1998. http://dx.doi.org/10.1117/12.310977.
Повний текст джерелаThakkar, Mehul, and Hitesh Shah. "Automatic thresholding in edge detection using fuzzy approach." In 2010 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2010. http://dx.doi.org/10.1109/iccic.2010.5705868.
Повний текст джерелаAmaral, T. G., M. M. Crisostomo, and A. Traca de Almeida. "Image thresholding by minimisation of fuzzy compactness and linear index of fuzziness." In Proceedings of 8th International Fuzzy Systems Conference. IEEE, 1999. http://dx.doi.org/10.1109/fuzzy.1999.793111.
Повний текст джерелаWu, Jianhua, Zhaoyu Pian, Li Guo, Kun Wang, and Liqun Gao. "Medical Image Thresholding Algorithm Based on Fuzzy sets Theory." In 2007 2nd IEEE Conference on Industrial Electronics and Applications. IEEE, 2007. http://dx.doi.org/10.1109/iciea.2007.4318543.
Повний текст джерела