Hybrid Soft Computing for Image Segmentation

Description

This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization. The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence. Front Matter....Pages i-xvi Hybrid Swarms Optimization Based Image Segmentation....Pages 1-21 Grayscale Image Segmentation Using Multilevel Thresholding and Nature-Inspired Algorithms....Pages 23-52 A Novel Hybrid CS-BFO Algorithm for Optimal Multilevel Image Thresholding Using Edge Magnitude Information....Pages 53-85 REFII Model and Fuzzy Logic as a Tool for Image Classification Based on Image Example....Pages 87-108 Microscopic Image Segmentation Using Hybrid Technique for Dengue Prediction....Pages 109-136 Extraction of Knowledge Rules for the Retrieval of Mesoscale Oceanic Structures in Ocean Satellite Images....Pages 137-162 Hybrid Uncertainty-Based Techniques for Segmentation of Satellite Imagery and Applications....Pages 163-183 Improved Human Skin Segmentation Using Fuzzy Fusion Based on Optimized Thresholds by Genetic Algorithms....Pages 185-207 Uncertainty-Based Spatial Data Clustering Algorithms for Image Segmentation....Pages 209-227 Coronary Artery Segmentation and Width Estimation Using Gabor Filters and Evolutionary Computation Techniques....Pages 229-253 Hybrid Intelligent Techniques for Segmentation of Breast Thermograms....Pages 255-289 Modeling of High-Dimensional Data for Applications of Image Segmentation in Image Retrieval and Recognition Tasks....Pages 291-317 Back Matter....Pages 319-321