Foot ulcers affect millions of Americans annually. Areas that are likely to ulcerate have been associated with increased
local skin temperatures due to inflammation and enzymatic autolysis of tissue. Conventional methods to assess skin,
including inspection and palpation, may be valuable approaches, but usually they do not detect changes in skin integrity
until an ulcer has already developed. Conversely, infrared imaging is a technology able to assess the integrity of the skin
and its many layers, thus having the potential to index the cascade of physiological events in the prevention, assessment,
and management of foot ulcers. In this paper, we propose a technique, asymmetry analysis, to automatically analyze the
infrared images in order to detect inflammation. Preliminary results show that the proposed technique can be reliable
and efficient to detect inflammation and, hence, predict potential ulceration.