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Title Hybrid soft computing for image segmentation / Siddhartha Bhattacharyya, Paramartha Dutta, Sourav De, Goran Klepac, editors
Published Cham, Switzerland : Springer, 2016

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Description 1 online resource
Contents Foreword; Preface; Contents; Hybrid Swarms Optimization Based Image Segmentation; 1 Introduction; 2 Preliminaries; 2.1 Firefly Algorithm (FA); 2.2 Social Spider Optimization Algorithm (SSO); 3 The Proposed Hybrid Segmentation Algorithm; 4 Experiments and Discussion; 5 Conclusion and Future Work; References; Grayscale Image Segmentation Using Multilevel Thresholding and Nature-Inspired Algorithms; 1 Introduction; 2 Formulation of Multilevel Thresholding Problem; 2.1 Kapur's Entropy Criterion; 2.2 Otsu Criterion; 3 Nature-Inspired Algorithms Based Multilevel Thresholding
3.1 Swarm Intelligence-Based Optimization Algorithms Based Multilevel Thresholding3.2 Evolutionary Algorithms Based Multilevel Thresholding; 3.3 Physics-Based Algorithms Based Multilevel Thresholding; 3.4 Hybrid NAs Based Multilevel Thresholding; 4 GSA-GA Based Multilevel Image Thresholding; 4.1 GSA-GA; 4.2 Implementation of GSA-GA for Multilevel Thresholding; 5 Experimental Results and Discussion; 5.1 Test Images; 5.2 Experimental Settings; 5.3 Performance Metrics; 5.4 Experiment 1: Maximizing Kapur's Entropy; 5.5 Experiment 2: Maximizing Otsu
5.6 Running Time Analysis Using Student's t-test6 Conclusion; References; A Novel Hybrid CS-BFO Algorithm for Optimal Multilevel Image Thresholding Using Edge Magnitude Information; 1 Introduction; 2 Edge Magnitude Computation; 3 Evolutionary Computing Techniques; 3.1 Cuckoo Search Technique; 3.2 Genetic Algorithm; 3.3 Particle Swarm Optimization; 3.4 Hybrid CS-BFO Algorithm; 4 Proposed Methodology; 5 Results and Discussions; 6 Conclusion; References; REFII Model and Fuzzy Logic as a Tool for Image Classification Based on Image Example; 1 Introduction; 2 Background
3 REFII Model and Introduction4 Conceptual Solution Proposal; 5 Realization of Proposed Solution; 6 Model Application; 7 Future Research; 8 Conclusion; References; Microscopic Image Segmentation Using Hybrid Technique for Dengue Prediction; 1 Introduction; 2 Dengue Scenario All over the World; 3 The Dengue Virus and Its Effect in Human Body; 4 Dengue Diagnosis and Treatment; 4.1 Dengue Diagnosis; 4.2 Dengue Treatment; 5 Platelet Segmentation; 5.1 Image Acquisition; 5.2 Platelet Segmentation Using Color-Based Segmentation; 5.3 Platelet Segmentation Using K-Means Clustering Technique
5.4 Platelet Segmentation Using Hybrid Soft Computing Technique6 Conclusion; References; Extraction of Knowledge Rules for the Retrieval of Mesoscale Oceanic Structures in Ocean Satellite Images; 1 Introduction; 1.1 Contributions of the Chapter; 1.2 Related Work; 1.3 Structure of the Chapter; 2 Dataset; 3 Workflow of the Tool; 3.1 Extraction of Knowledge Rules; 4 Experimental Results; 4.1 Knowledge Rules; 4.2 Labeling; 5 Implementation; 5.1 User Interface; 5.2 Class Modeling; 5.3 Data Modeling; 6 Conclusions and Future Work; References
Summary 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
Notes Includes index
Bibliography Includes bibliographical references at the end of each chapters and index
Notes Online resource; title from PDF title page (SpringerLink, viewed November 30, 2016)
Subject Image segmentation.
Soft computing.
Artificial intelligence.
Computer vision.
COMPUTERS -- General.
Image segmentation
Soft computing
Form Electronic book
Author Bhattacharyya, Siddhartha, 1975- editor.
Dutta, Paramartha, editor.
De, Sourav, 1979- editor.
Klepac, Goran, 1972- editor.
ISBN 9783319472232
3319472232
3319472224
9783319472225