Rough Fuzzy Image Analysis - Foundations and Methodologies

List of contents

Cantor, Fuzzy, Near, and Rough Sets in Image Analysis. Rough Fuzzy Clustering Algorithm for Segmentation of Brain MR Images. Image Thresholding Using Generalized Rough Sets. Mathematical Morphology and Rough Sets. Rough Hybrid Scheme: An Application of Breast Cancer Imaging. Applications of Fuzzy Rule-Based Systems in Medical Image Understanding. Near Set Evaluation and Recognition (NEAR) System. Perceptual Systems Approach to Measuring Image Resemblance. From Tolerance Near Sets to Perceptual Image Analysis. Image Segmentation: A Rough-Set Theoretic Approach. Rough Fuzzy Measures in Image Segmentation and Analysis. Discovering Image Similarities: Tolerance Near Set Approach.

About the author

Sankar K. Pal is the director and a distinguished scientist of the Indian Statistical Institute in Kolkata.
James F. Peters is a professor in the Department of Electrical and Computer Engineering and group leader of the Computational Intelligence Laboratory at the University of Manitoba in Winnipeg, Canada.

Summary

Edited by two leading researchers, this volume reflects the diversity and richness of rough fuzzy image analysis. It explains how fuzzy, near, and rough sets provide the basis for stages of pictorial pattern recognition. It also explains hybrid approaches in image analysis, and tolerance spaces and a perceptual systems approach to image analysis.

Product details

• Authors: Sankar K. (Indian Statistical Institute Pal, Sankar K. Peters Pal
• Assisted by: Sankar K. Pal (Editor), Sankar K. (Indian Statistical Institute Pal (Editor), Pal Sankar K. (Editor), James F. Peters (Editor), James F. (University of Manitoba Peters (Editor), Peters James F. (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 31.12.2017
• EAN: 9781138116238
• ISBN: 978-1-138-11623-8
• No. of pages: 266
• Series: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series; Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Miscellaneous; MATHEMATICS / Applied, TECHNOLOGY & ENGINEERING / Automation, COMPUTERS / Optical Data Processing, Applied mathematics, Image processing, Automatic control engineering