1 option
Rough fuzzy image analysis : foundations and methodologies / edited by Sankar K. Pal, James F. Peters.
- Format:
- Book
- Series:
- Chapman & Hall/CRC mathematical and computational imaging sciences.
- Chapman & Hall/CRC Mathematical and Computational Imaging ; v.v. 1
- Language:
- English
- Subjects (All):
- Image analysis.
- Fuzzy sets.
- Physical Description:
- 1 online resource (259 p.)
- Edition:
- 1st ed.
- Place of Publication:
- Boca Raton : Taylor & Francis, 2010.
- Language Note:
- English
- Summary:
- 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
- Contents:
- Cover; 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
- 10 Image Segmentation: A Rough-set Theoretic Approach11 Rough Fuzzy Measures in Image Segmentation and Analysis; 12 Discovering Image Similarities. Tolerance Near Set Approach; Index
- Notes:
- "A CRC title."
- Includes bibliographical references and index.
- Description based on metadata supplied by the publisher and other sources.
- ISBN:
- 9786612902581
- 9781040212325
- 1040212328
- 9780429165863
- 0429165862
- 9781138116238
- 1138116238
- 9781282902589
- 128290258X
- 9781439803301
- 1439803307
- OCLC:
- 666419207
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.