Identification and evaluation on diabetic foot injury by computer vision

The diabetic foot is one of the most devastating complications related to diabetic. Its significant transcendence is related to a higher incidence and amputation percentage as well as deaths. Given the fact that laboratory diagnoses trials are both limited and expensive, the most typical alternative is still based on the disease's signs and symptoms. Therefore, the attending physician fills out a questionnaire based on its support instrumental measurements and its own observation (it could be method but not so sure). The aforementioned questionnaire will provide the foundation for the diagnose that also depends on the criteria and the consultant's experience. However, for some variables such as the laceration (injury or wound) and-or-location the previous dependency is not acceptable. This paper aims to become the first link to optimize the diabetic's foot evaluation through the introduction of digital image processing techniques. Because of the use of advanced object segmentation techniques and a parameter that adjusts the system's sensibility until obtaining the desired results it was possible to apply an algorithm to a series of trial images provided positive results for wound and location detection.