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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. 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 anal...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press/Taylor & Francis,
©2010.
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| Colección: | Chapman & Hall/CRC mathematical and computational imaging sciences.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 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, FL : |b CRC Press/Taylor & Francis, |c ©2010. | ||
| 300 | |a 1 online resource (1 volume (various pagings)) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 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 / James F. Peters and Sankar K. Pal -- 2. Rough-fuzzy clustering algorithm for segmentation of brain MR images / Pradipta Maji and Sankar K. Pal -- 3. Image thresholding using generalized rough sets / Debashis Sen and Sankar K. Pal -- 4. Mathematical morphology and rough sets / Homa Fashandi and James F. Peters -- 5. Rough hybrid scheme : an application of breast cancer imaging / Aboul Ella Hassanien, Hameed Al-Qaheri, Ajith Abraham -- 6. Applications of fuzzy rule-based systems in medical image understanding / Wojciech Tarnawski [and others] -- 7. Near set evaluation and recognition (NEAR) system / Christopher Henry -- 8. Perceptual systems approach to measuring image resemblance / Amir H. Meghdadi and James F. Peters -- 9. From tolerance near sets to perceptual image analysis / Shabnam Shahfar, Amir H. Meghdadi and James F. Peters -- 10. Image segmentation : a rough-set theoretic approach / Milind M. Mushrif and Ajoy K. Ray -- 11. Rough fuzzy measures in image segmentation and analysis / Dariusz Malyszko and Jaroslaw Stepaniuk -- 12. Discovering image similarities : tolerance near set approach / Sheela Ramanna. | |
| 588 | 0 | |a Print version record. | |
| 520 | |a Fuzzy 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. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Image analysis. | |
| 650 | 0 | |a Fuzzy sets. | |
| 650 | 6 | |a Analyse d'images. | |
| 650 | 6 | |a Ensembles flous. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Imaging Systems. |2 bisacsh | |
| 650 | 7 | |a Fuzzy sets |2 fast | |
| 650 | 7 | |a Image analysis |2 fast | |
| 700 | 1 | |a Pal, Sankar K. | |
| 700 | 1 | |a Peters, James F. | |
| 758 | |i has work: |a Rough fuzzy image analysis (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGTk64CwhXprgGwDghR3gq |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |t Rough fuzzy image analysis. |d Boca Raton, FL : CRC Press/Taylor & Francis, ©2010 |z 9781439803295 |w (DLC) 2009053741 |w (OCoLC)262430664 |
| 830 | 0 | |a Chapman & Hall/CRC mathematical and computational imaging sciences. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=589925 |z Texto completo |
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