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100   $a20100121d2010      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aRough fuzzy image analysis $efoundations and methodologies /$fedited by Sankar K. Pal, James F. Peters
205   $a1st ed.
210   $aBoca Raton $cTaylor & Francis$d2010
215   $a1 online resource (259 p.)
225 1 $aChapman & Hall/CRC Mathematical and Computational Imaging ;$vv.v. 1
300   $a"A CRC title."
311 08$a9781466532342 
311 08$a1466532343 
311 08$a9781439803295 
311 08$a1439803293 
320   $aIncludes bibliographical references and index.
327   $aCover; 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 Analysis
327   $a10 Image Segmentation: A Rough-set Theoretic Approach11 Rough Fuzzy Measures in Image Segmentation and Analysis; 12 Discovering Image Similarities. Tolerance Near Set Approach; Index
330   $aFuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image analysis, ""Rough Fuzzy Image Analysis: Foundations and Methodologies"" introduces the fundamentals and applications in the state of the art of rough fuzzy image analysis. In the first chapter, the distinguished editors explain how fuzzy, near, and rough sets provide the basis for the stages of pictoria
410  0$aChapman & Hall/CRC mathematical and computational imaging sciences.
606   $aImage analysis
606   $aFuzzy sets
615  0$aImage analysis.
615  0$aFuzzy sets.
676   $a621.36/7
701   $aPal$b Sankar K$0117447
701   $aPeters$b James F$0555283
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910971502403321
996   $aRough fuzzy image analysis$94327473
997   $aUNINA