AN EFFICIENTLY IDENTIFY THE DIABETIC FOOT ULCER BASED ON FOOT ANTHROPOMETRY USING HYPER SPECTRAL IMAGING

Diabetic neuropathies are nerve damaging disorders associated with diabetes mellitus. About 60 to 70 percent of people with diabetes have some form of neuropathy. The nerves damage in foot is develop the ulcer in the foot .An improper maintenance of foot is way of increasing the ulcer. The manual test of patient feet with a hand-held nylon monofilament probe procedure is time consuming, labor intensive, requires special training, is prone to error, repeatability is difficult and it increase the pain. Our goal is automatically detect the pressure point in the pressure area on the foot using this method identify the ulcer via Hyperspectral image processing technique .The proposed system is Efficiently and Automatically identify the diabetic foot ulcer based on foot parameter and provide the accurate result using hyper spectral imaging and foot Anthropometry. The Hyper spectral imaging is used to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes. The human foot is a complex structure, playing an important role in the locomotion processes of the lower extremity .People vary in foot shape, gender, age, race, and even lifestyle habits play an important role in shaping the foot .The foot anthropometry is measurement of human individual foot. Advantages of this approach is Easy to identification, efficiently and provide an accurate result the hyper spectral imaging techniques result is much better than other imaging techniques.