In view of better results expected from examination of medical dataset (images) with a hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible Hybrid Image Examination techniques for medical images. It describes various image thresholding and segmentation methods which are essential for the development of such a hybrid processing tool. Further, this book presents the essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in medical image processing domain, image processing and computer engineering, this book: