Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision

Cover....1 Half Title....2 Title Page....4 Copyright Page....5 Series Page....6 About the Editors....10 Table of Contents....12 Contributors....14 Abbreviations....18 Preface....22 Part I: Health Care Systems....26 1. Machine Learning Model-Based Detection of Sperm Head Abnormalities from Stained Microscopic Images....28 2. Smart Healthcare System for Reliable Diagnosis of Polycystic Ovary Syndrome....44 3. Classification of Breast Histopathological Images using Semi-Supervised Generative Adversarial Networks....62 4. A Systematic Review for the Classification and Segmentation of Diabetic Retinopathy Lesion from Fundus....80 5. Critical Analysis of Various Supervised Machine Learning Algorithms for Detecting Diabetic Retinopathy in Images....100 Part II: Image and Video Processing....120 6. Artificial Bee Colony Optimization Technique-Based Video Copyright Protection in DWT-PCA Domain....122 7. Gray Tone Spatial Dependence Matrix: Texture Feature for Image Classification....136 8. Image Colorization and Restoration Using Deep Learning....156 9. Determining Image Scale in Real-World Units Using Natural Objects Present in Image....170 10. Image Segmentation Using Metaheuristic....194 Part III: Advanced Machine Learning....216 11. A Computer Vision Use Case: Detecting the Changes in Amazon Rainforest Over Time....218 12. Using CNN and Image Processing Approaches in the Preservation of Sea Turtles....232 13. Deep Learning-Based Semantic Segmentation Techniques and Their Applications in Remote Sensing....254 14. Deep Convolutional Neural Network-Based Single Image Superresolution....284 15 A Review of Machine Learning Techniques for Vision-Established Human Action Recognition....310 Index....334