IR based intelligent image processing techniques for medical applications

Infrared imaging captures the temperature distribution of the human body surface and is presently employed in various medical applications. Most of the conventional and commercial suites for thermal image processing provide only very basic tools to process thermal images which pose challenge to the medical professionals and analysts to interpret the combination of both functional and morphostructural imaging for solving their medical issues. In this paper, an image processing based advanced machine learning approach is discussed which will provide tremendous help to the users to diagnose infrared image based assumptions either to see which part of the anatomy is affected by a certain disease or to judge the efficacy of the treatment. The system can be used in Infrared image based diabetes screening and cancer detection applications.