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Index
Cover
Title Page
Copyright
Dedication
Table of Contents
Editor Biographies
List of Contributors
Foreword
Preface
About the Companion website
Chapter 1: Multilevel Image Segmentation Using Modified Genetic Algorithm (MfGA)-based Fuzzy C-Means
1.1 Introduction
1.2 Fuzzy C-Means Algorithm
1.3 Modified Genetic Algorithms
1.4 Quality Evaluation Metrics for Image Segmentation
1.5 MfGA-Based FCM Algorithm
1.6 Experimental Results and Discussion
1.7 Conclusion
References
Chapter 2: Character Recognition Using Entropy-Based Fuzzy C-Means Clustering
2.1 Introduction
2.2 Tools and Techniques Used
2.3 Methodology
2.4 Results and Discussion
2.5 Conclusion and Future Scope of Work
References
Appendix
Chapter 3: A Two-Stage Approach to Handwritten Indic Script Identification
3.1 Introduction
3.2 Review of Related Work
3.3 Properties of Scripts Used in the Present Work
3.4 Proposed Work
3.5 Experimental Results and Discussion
3.6 Conclusion
Acknowledgments
References
Chapter 4: Feature Extraction and Segmentation Techniques in a Static Hand Gesture Recognition System
4.1 Introduction
4.2 Segmentation Techniques
4.3 Feature Extraction Techniques
4.4 State of the Art of Static Hand Gesture Recognition Techniques
4.5 Results and Discussion
4.6 Conclusion
Acknowledgment
References
Chapter 5: SVM Combination for an Enhanced Prediction of Writers' Soft Biometrics
5.1 Introduction
5.2 Soft Biometrics and Handwriting Over Time
5.3 Soft Biometrics Prediction System
5.4 Experimental Evaluation
5.5 Discussion and Performance Comparison
5.6 Conclusion
References
Chapter 6: Brain-Inspired Machine Intelligence for Image Analysis: Convolutional Neural Networks
6.1 Introduction
6.2 Convolutional Neural Networks
6.3 Toward Understanding the Brain, CNNs, and Images
6.4 Conclusion
References
Chapter 7: Human Behavioral Analysis Using Evolutionary Algorithms and Deep Learning
7.1 Introduction
7.2 Human Action Recognition Using Evolutionary Algorithms and Deep Learning
7.3 Experimental Study
7.4 Conclusions and Future Work
References
Chapter 8: Feature-Based Robust Description and Monocular Detection: An Application to Vehicle tracking
8.1 Introduction
8.2 Extraction of Local Features by SIFT and SURF
8.3 Global Features: Real-Time Detection and Vehicle Tracking
8.4 Vehicle Detection and Validation
8.5 Experimental Study
8.6 Conclusions
References
Chapter 9: A GIS Anchored Technique for Social Utility Hotspot Detection
9.1 Introduction
9.2 The Technique
9.3 Case Study
9.4 Implementation and Results
9.5 Analysis and Comparisons
9.6 Conclusions
Acknowledgments
References
Chapter 10: Hyperspectral Data Processing: Spectral Unmixing, Classification, and Target Identification
10.1 Introduction
10.2 Background and Hyperspectral Imaging System
10.3 Overview of Hyperspectral Image Processing
10.4 Spectral Unmixing
10.5 Classification
10.6 Target Detection
10.7 Conclusions
References
Chapter 11: A Hybrid Approach for Band Selection of Hyperspectral Images
11.1 Introduction
11.2 Relevant Concept Revisit
11.3 Proposed Algorithm
11.4 Experiment and Result
11.5 Conclusion
References
Chapter 12: Uncertainty-Based Clustering Algorithms for Medical Image Analysis
12.1 Introduction
12.2 Uncertainty-Based Clustering Algorithms
12.3 Image Processing
12.4 Medical Image Analysis with Uncertainty-Based Clustering Algorithms
12.5 Conclusions
References
Chapter 13: An Optimized Breast Cancer Diagnosis System Using a Cuckoo Search Algorithm and Support Vector Machine Classifier
13.1 Introduction
13.2 Technical Background
13.3 Proposed Breast Cancer Diagnosis System
13.4 Results and Discussions
13.5 Conclusion
13.6 Future Work
References
Chapter 14: Analysis of Hand Vein Images Using Hybrid Techniques
14.1 Introduction
14.2 Analysis of Vein Images in the Spatial Domain
14.3 Analysis of Vein Images in the Frequency Domain
14.4 Comparative Analysis of Spatial and Frequency Domain Systems
14.5 Conclusion
References
Chapter 15: Identification of Abnormal Masses in Digital Mammogram Using Statistical Decision Making
15.1 Introduction
15.2 Previous Works
15.3 Proposed Method
15.4 Experimental Result
15.5 Result Evaluation
15.6 Comparative Analysis
15.7 Conclusion
Acknowledgments
References
Chapter 16: Automatic Detection of Coronary Artery Stenosis Using Bayesian Classification and Gaussian Filters Based on Differential Evolution
16.1 Introduction
16.2 Background
16.3 Proposed Method
16.4 Computational Experiments
16.5 Concluding Remarks
Acknowledgment
References
Chapter 17: Evaluating the Efficacy of Multi-resolution Texture Features for Prediction of Breast Density Using Mammographic Images
17.1 Introduction
17.2 Materials and Methods
17.3 Results
17.4 Conclusion and Future Scope
References
Index
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