Rough Fuzzy Image Analysis: Foundations and Methodologies

ISBN-13: 9781138116238 / Angielski / Miękka / 2017 / 266 str.

Opis

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.

Spis treści

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.