This new volume provides in-depth and detailed knowledge about the latest research in image processing and Computer Vision techniques. Explaining the Machine Learning algorithms and models involved, the authors differentiate between the various algorithms available and how to choose which to use for the most precise results for a specific task involving certain constraints. The volume provides real-world examples to illustrate the concepts and methods. The authors discuss Machine Learning in healthcare systems for detection, diagnosis, classification, and segmentation. They also explore the diverse applications of image and video processing, including image colorization and restoration using Deep Learning, using Machine Learning to record the climate changes in over time with remote sensing, and more. Machine Learning (ML) algorithms learn from data by building adaptive mathematical models which can detect the pattern in the training data. One of the applications of Machine Learning is image processing and Computer Vision.