ABSTRACT
Current thermography processing software has some limitations mainly because it is developed for general applications and doesn’t allow the identification of a Region Of Interest (ROI) with irregular shapes, such as anatomic models in the medical field. Current commercial softwares usually use regular prismatic shapes (rectangles, squares, circles and/or ellipse) for the definition of these regions. In this research, a computational application was developed in order to aid in the characterization of thermal images. By adding patient’s clinical data to these images, the diagnosis and therapeutic techniques will be facilitated. The limitations of existing applications regarding the definition of the ROI’s, was overcome by designing an
1 INTRODUCTION
Different biomedical techniques and applications are always under development and placed at the service of clinicians worldwide. Medical thermography or thermology is the medical science that derives diagnostic indications from highly detailed and sensitive infrared images of the human body. Thermology is sometimes referred to as medical infrared imaging or tele-thermology and utilizes highly resolute and sensitive thermographic cameras.
