Analysis of foot sole image using image processing algorithms

Abstract

Diabetes is a serious chronic disease that needs attention. Approximately 15% of all people with diabetes will be affected by a foot ulcer during their lifetime. Diabetic foot ulcers (DFUs) often co-exist with vascular insufficiency and are the major cause of gangrene and amputation in people with diabetes. Risk identification is fundamental for effective preventive management of the foot in people with diabetes. The risk of ulcers or amputations is increased in people who have had diabetes ≥10 years, are male, have poor glucose control, or have cardiovascular, retinal, or renal complications. it is generally agreed that non-mechanical factors such as peripheral neuropathy, dry skin, and/or vascular problems are often major contributing causes for skin ulceration. Therefore monitoring the subcutaneous tissue of foot for callus formation in a low-resource setting, and early prevention by identifying and relieving the "hot spot" pressure points in shoe insole is a necessity. People with diabetes must inspect their feet regularly, or have a family member or care provider do it on their behalf. Daily inspection is the foundation of diabetic foot ulcer prevention. Fortunately India has a good penetration of mobile phones, camera and now a days tab which can be an effective monitoring device and therefore we present a mobile/camera/tab based application for monitoring sole of the foot for calluses and detecting pressure “hot spots” in the shoe insole so that they can be relieved in a timely manner and they done the first level diagnosis and reduce the treatment cost and we used advanced gabour filter algorithm for effective result And also proposing, the educating the people about the diabetic foot ulcer by that we can reduce the foot ulcer problems.