About the book
Digital Image Processing refers to a large set of mathematical and computational methods and techniques that have as their object one of the most important sources of information for the human being - the visual image. Despite being one of the most traditional and studied areas in the field of computing, it is still considered one of the most productive and challenging. The field of digital image processing is constantly evolving, with great potential for research and the development of new advances in techniques, methods, and applications. Areas such as health, industrial process control, remote sensing are just a few possible examples in the development of applications with significant social relevance that benefit from the use of digital images, among many others.
This book aims to present a snapshot of the main advances and current perspectives in the field, bringing the state-of-the-art in cutting-edge topics such as pattern recognition and deep learning, in addition to those considered more traditional, such as processes and equipment for image acquisition, high-resolution recovery, and segmentation, among others.