|
|
|
|
| LEADER |
00000cam a2200000 7i4500 |
| 001 |
0000074658 |
| 005 |
20111220.0 |
| 008 |
110621s2010 flu eng |
| 020 |
|
|
|a 1439803293 (hardcover : alk. paper)
|
| 020 |
|
|
|a 9781439803295 (hardcover : alk. paper)
|
| 050 |
0 |
0 |
|a TA1637
|b .R68 2010
|
| 090 |
0 |
0 |
|a TA1637
|b .R68 2010
|
| 245 |
0 |
0 |
|a Rough fuzzy image analysis :
|b foundations and methodologies
|c edited by Sankar K. Pal, James F. Peters
|
| 260 |
|
|
|a Boca Raton, Florida :
|b CRC Press/Taylor & Francis ,
|c c2010
|
| 300 |
|
|
|a 1 v. (various pagings) :
|b ill. (some col.) ;
|c 26 cm.
|
| 490 |
1 |
|
|a Chapman & Hall/CRC mathematical and computational imaging sciences
|
| 504 |
|
|
|a Includes bibliographical references and index
|
| 505 |
0 |
|
|a 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
|
| 520 |
|
|
|a 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
|
| 650 |
|
0 |
|a Fuzzy sets
|
| 650 |
|
0 |
|a Image analysis
|
| 700 |
1 |
|
|a Pal, Sankar K. ,
|e author
|
| 700 |
1 |
|
|a Peters, James F. ,
|e author
|
| 999 |
|
|
|a 1000141694
|b Book
|c OPEN SHELF (30 DAYS)
|e Tembila Campus
|