1st Edition
Rough Fuzzy Image Analysis Foundations and Methodologies
Cantor, Fuzzy, Near, and Rough Sets in Image Analysis, James F. Peters and Sankar K. Pal
Rough Fuzzy Clustering Algorithm for Segmentation of Brain MR Images, Pradipta Maji and Sankar K. Pal
Image Thresholding Using Generalized Rough Sets, Debashis Sen and Sankar K. Pal
Mathematical Morphology and Rough Sets, Homa Fashandi and James F. Peters
Rough Hybrid Scheme: An Application of Breast Cancer Imaging, Aboul Ella Hassanien, Hameed Al-Qaheri, and Ajith Abraham
Applications of Fuzzy Rule-Based Systems in Medical Image Understanding, Wojciech Tarnawski, Gerald Schaefer, Tomoharu Nakashima, and Lukasz Miroslaw
Near Set Evaluation and Recognition (NEAR) System, Christopher Henry
Perceptual Systems Approach to Measuring Image Resemblance, Amir H. Meghdadi and James F. Peters
From Tolerance Near Sets to Perceptual Image Analysis, Shabnam Shahfar, Amir H. Meghdadi, and James F. Peters
Image Segmentation: A Rough-Set Theoretic Approach, Milind M. Mushrif and Ajoy K. Ray
Rough Fuzzy Measures in Image Segmentation and Analysis, Dariusz Malyszko and Jaroslaw Stepaniuk
Discovering Image Similarities: Tolerance Near Set Approach, Sheela Ramanna
Biography
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.
