03593nam 2200793Ia 450 991097150240332120200520144314.097866129025819781040212325104021232897804291658630429165862978113811623811381162389781282902589128290258X9781439803301143980330710.1201/9781439803301 (CKB)2670000000047691(EBL)589925(OCoLC)666419207(SSID)ssj0000427435(PQKBManifestationID)11279060(PQKBTitleCode)TC0000427435(PQKBWorkID)10406019(PQKB)10528052(Au-PeEL)EBL589925(CaPaEBR)ebr10419884(CaONFJC)MIL290258(OCoLC)1287180856(FINmELB)ELB159268(MiAaPQ)EBC589925(EXLCZ)99267000000004769120100121d2010 uy 0engur|n|---|||||txtccrRough fuzzy image analysis foundations and methodologies /edited by Sankar K. Pal, James F. Peters1st ed.Boca Raton Taylor & Francis20101 online resource (259 p.)Chapman & Hall/CRC Mathematical and Computational Imaging ;v.v. 1"A CRC title."9781466532342 1466532343 9781439803295 1439803293 Includes bibliographical references and index.Cover; Title; Copyright; Preface; Table of Contents; 1 Cantor, Fuzzy, Near, and Rough Sets in Image Analysis; 2 Rough-Fuzzy Clustering Algorithm for Segmentation of Brain MR Images; 3 Image Thresholding using Generalized Rough Sets; 4 Mathematical Morphology and Rough Sets; 5 Rough Hybrid Scheme: An application of breast cancer imaging; 6 Applications of Fuzzy Rule-based Systems in Medical Image Understanding; 7 Near Set Evaluation And Recognition (NEAR) System; 8 Perceptual Systems Approach to Measuring Image Resemblance; 9 From Tolerance Near Sets to Perceptual Image Analysis10 Image Segmentation: A Rough-set Theoretic Approach11 Rough Fuzzy Measures in Image Segmentation and Analysis; 12 Discovering Image Similarities. Tolerance Near Set Approach; IndexFuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image analysis, ""Rough Fuzzy Image Analysis: Foundations and Methodologies"" introduces the fundamentals and applications in the state of the art of rough fuzzy image analysis. In the first chapter, the distinguished editors explain how fuzzy, near, and rough sets provide the basis for the stages of pictoriaChapman & Hall/CRC mathematical and computational imaging sciences.Image analysisFuzzy setsImage analysis.Fuzzy sets.621.36/7Pal Sankar K117447Peters James F555283MiAaPQMiAaPQMiAaPQBOOK9910971502403321Rough fuzzy image analysis4327473UNINA