Advances in Soft Computing and Machine Learning in Image Processing

This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing.

The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students.  It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

Table of Contents

Part 1 Image Segmentation
Chapter 1 Color Spaces Advantages And Disadvantages In Image Color Clustering Segmentation
Chapter 2 Multi-Objective Whale Optimization Algorithm For Multilevel Thresholding Segmentation
Chapter 3 Evaluating Swarm Optimization Algorithms For Segmentation Of Liver Images
Chapter 4 Thermal Image Segmentation Using Evolutionary Computation Techniques
Chapter 5 News Videos Segmentation Using Dominant Colors Representation

Part 2 Applications Of Image Processing In Medicine
Chapter 6 Normalized Multiple Features Fusion Based On Pca And Multiple Classifiers Voting In Ct Liver Tumor Recognition
Chapter 7 Computer-Aided Acute Lymphoblastic Leukemia Diagnosis System Based On Image Analysis
Chapter 8 Telemammography: A Novel Approach For Early Detection Of Breast Cancer Through Wavelets Based Image Processing And Machine Learning Techniques
Chapter 9 Image Processing In Biomedical Science
Chapter 10 Automatic Detection And Quantification Of Calcium Objects From Clinical Images For Risk Level Assessment Of Coronary Disease
Chapter 11 Semi-Automated Method For The Glaucoma Monitoring

Part 3 Security And Biometric Applications Of Image Processing
Chapter 12 Multimodal Biometric Personal Identification And Verification
Chapter 13 Suspicious And Violent Activity Detection Of Humans Using Hog Features And Svm Classifier In Surveillance Videos
Chapter 14 Hybrid Rough Neural Network Model For Signature Recognition
Chapter 15 A Novel Secure Personal Authentication System With Finger In Face Watermarking Mechanism
Chapter 16 Activity Recognition Using Imagery For Smart Home Monitoring
Chapter 17 Compressive Sensing And Chaos-Based Image Compression Encryption
Chapter 18 Fingerprint Identification Using Hierarchical Matching And Topological Structures
Chapter 19 A Study Of Action Recognition Problems: Dataset And Architectures Perspectives
Chapter 20 Importance Of Aadhar-Based Smartcard System’S Implementation In Developing Countries

Part 4 Object Analysis And Recognition In Digital Images
Chapter 21 A Nonlinear Appearance Model For Age Progression
Chapter 22 Efficient Schemes For Playout Latency Reduction In P2P-Vod Systems
Chapter 23 A Setpitextoff Algorithm-Based Fast Image Projection Analysis
Chapter 24 Enhancing Visual Speech Recognition With Lip Protrusion Estimation
Chapter 25 Learning-Based Image Scaling Using Neural-Like Structure Of Geometric Transformation Paradigm
Chapter 26 2D/3D Object Recognition And Categorization Approaches For Robotic Grasping
Chapter 27 A Distance Function For Comparing Straight-Edge Geometric Figures
Chapter 28 Rough Set Theory Based On Robust Image Watermarking
Chapter 29 Cbpf-Iqa: Using Contrast Band-Pass Filtering As Main Axis Of Visual Image Quality Assessment
Chapter 30 Digital Image Watermarking Performance Improvement Using Bio-Inspired Algorithms
Chapter 31 Image Reconstruction Using Novel Two-Dimensional Fourier Transform