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Rough fuzzy image analysis: foundations and methodologies/ Sankar K. Pal and James F. Peters eds.

Contributor(s): Material type: TextTextLanguage: English Series: Chapman & Hall/CRC Mathematical and Computational Imaging SciencesPublication details: Boca Raton: CRC Press, 2010Description: 26 cmISBN:
  • 9781439803295
Subject(s): DDC classification:
  • 621.367 P153 22
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 system -- 8. Perceptual systems approach to measuring image resemblance -- 9. From tolerance near sets to perceptual image analysis -- 10. Image segmentation: a rough-set theoretic approach -- 11. Rough fuzzy measures in image segmentation and analysis -- 12. Discovering image similarities. Tolerance near set approach
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Includes bibliographical references and index

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 system -- 8. Perceptual systems approach to measuring image resemblance -- 9. From tolerance near sets to perceptual image analysis -- 10. Image segmentation: a rough-set theoretic approach -- 11. Rough fuzzy measures in image segmentation and analysis -- 12. Discovering image similarities. Tolerance near set approach

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