Rough fuzzy image analysis : foundations and methodologies
Fuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image analysis, this title introduces the fundamentals and applications in rough fuzzy image analysis
| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, Florida :
CRC Press/Taylor & Francis ,
c2010
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| Series: | Chapman & Hall/CRC mathematical and computational imaging sciences
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| Subjects: |
Table of Contents:
- 1. Cantor, fuzzy, near, and rough sets in image analysis
- 2. Rough-fuzzy clustering algorithm for segmentation for 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
- 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