This book introduces new region-based fusion techniques for image processing applications. The significance of this book is that it piques the interest of students, research scholars, and faculty in exploring new ideas and methodologies in image fusion. The book's contents in the fields of photography, medical imaging, remote sensing, and surveillance applications may entice more readers. This book is intended for those who are attempting to solve image fusion problems using a region-based approach.

Retinal image segmentation is an interdisciplinary field at the intersection of engineering and medicine. This field is intended to develop computational and mathematical models for solving problems pertaining to medical images and their use for biomedical research and clinical care. Every year, many more articles are added in the literature that describe new algorithms in solving the problem. However, the artifacts such as intensity inhomogeneity, poor image contrast, complicated vessel network, various pathologies, etc. make the retinal image segmentation a challenging task.In this context,...