Evaluation of thermal patterns and distribution applied to the study of diabetic foot

Abstract

Early detection of symptoms related to ulceration risk in patients with diabetes mellitus can prevent future complications. In recent years thermography has been a response to this problem. Thermography is presented as a rapid, non-invasive and non-contact technique for detecting potential temperature patterns that may have complications in the future. This paper presents a preliminary classification method to detect temperature patterns which could be related with high-risk patients. This methodology is based on thermal image processing, beginning with the isolation of areas with higher temperature, followed by an analysis of these areas that allow its classification.