Description
In recent decades, there has been an increasing interest in using machine learning and, in the last few years, deep learning methods combined with other vision and image processing techniques to create systems that solve vision problems in different fields. There is a need for academicians, developers, and industry-related researchers to present, share, and explore traditional and new areas of computer vision, machine learning, deep learning, and their combinations to solve problems.
The Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era is designed to serve researchers and developers by sharing original, innovative, and state-of-the-art algorithms and architectures for applications in the areas of computer vision, image processing, biometrics, virtual and augmented reality, and more. It integrates the knowledge of the growing international community of researchers working on the application of machine learning and deep learning methods in vision and robotics. Covering topics such as brain tumor detection, heart disease prediction, and medical image detection, this premier reference source is an exceptional resource for medical professionals, faculty and students of higher education, business leaders and managers, librarians, government officials, researchers, and academicians.
Author's/Editor's Biography
A. Srinivasan (Ed.)
A. Srinivasan is working as Associate Professor in the Department of Electronics and Communication Engineering, Srinivasa Ramanujan Centre, SASTRA Deemed University, Kumbakonam, Thanjavur, Tamil Nadu, India and has teaching experience of more than 20 years. He obtained his Ph.D at SASTRA Deemed University. He has published 5 Indian patents and more than 40 articles in National and International peer reviewed journals and two in book chapters. Acted as a guest editor for the SCOPUS indexed Far East Journal of Electronics and Communications. Organized workshops, National and International conferences. He is having membership in IET, Institution of Engineers (India), Broadcasting society of India, Indian Society of Systems for Science & Engineering and got Amateur radio license from the Indian Ministry of Communications and Information Technology. Currently he is supervising 3 research scholars and two scholars awarded Ph.D. His research areas are Image Processing, Signal Processing, Optical Communication, Internet of Things, Deep Learning and Machine Learning.