Image Analysis System used in Detection of Foot Ulcers

Abstract

Diabetic foot ulcers represent a major health issue. Currently, clinicians and nurses chiefly base their wound assessment on visual examination of wound size and healing standing, whereas the patients themselves rarely have a chance to play a lively role. As a result, a more effective and quantitative examination method that enables patients and their caregivers to take a more active role in daily wound care will undoubtedly speed up wound healing, reduce travel costs, and reduce costs associated with care. To evaluate wounds by examining photographs of chronic foot ulcers a wonderful possibility exists, given the widespread availability of smartphones with high-resolution cameras. We tend to propose a brand-new, one-of-a-kind, and only applicable to the golem smartphone wound image analysis system in this paper. Using a picture capture box, the smartphone's camera takes a picture of the wound. After that, the mean-shift formula is used by the smartphone to segment wounds. In particular, the characterize of the foot is set upheld variety, and consequently the injury limit is found utilizing a direct associated locale recognition procedure. Among the injury limit, the recuperating standing is next evaluated upheld red-yellow-dark variety examination model.