Artificial Intelligence-based Infrared Thermal Image Processing and its Applications

Dr. U. Snekhalatha is currently working as an Professor in the Department of Biomedical Engineering, SRM Institute of Science and Technology (SRMIST), Kattankulathur, India. She pursued her Doctorate in Biomedical Engineering at SRMIST (2015). Her areas of interest include biomedical signal processing, medical image processing, biomedical instrumentation, and machine learning and deep learning techniques. She has published 88 research articles in reputed peer-reviewed international journals and international conferences. She has filed four Indian patents of which, all are in published stage. She obtained the Best Researcher Award for her publications in Nature indexed journal during the Research Day function held on March 1, 2021 at SRMIST. She received Gandhian Young Technological Innovation Award for paper titled "Design of Acetone Breath Gas Analyzer in the Evaluation of Diabetes Mellitus," Appreciation 2020, Society for Research and Initiatives for Sustainable Technologies and Institutions, November 5, 2020. She has obtained best paper award and gold medals for some research paper publications. She is a life member of various professional societies such as the Biomedical Society of India, IEI, IEANG, IRED, ISTE, and ISCA. She is currently serving as a reviewer and guest editor for various reputed peer-reviewed international journals.

This book provides a description of designing and developing a computer assisted diagnosis (CAD) system based on thermography for diagnosing some of the common ailments such as arthritis, diabetes, and fever. It introduces applications of machine and deep learning methods, and convolutional neural networks in the development of CAD system.

Chapter 1 Fundamentals of Infrared Thermal Imaging