Analysis of Foot Ulcer Level Using Non-Invasive Technique Based on Image Segmentation for Type 2 Diabetic Patients

Abstract

Medical imaging is that the technique and method of making visual representations of the inside of a body for clinical analysis and medical intervention, furthermore as visual illustration of the performance of some organs or tissues (physiology). In computer vision, image segmentation is the method of partitioning a digital image into its constituent parts with identical pixel values. The goal of segmentation is to modify the illustration of a picture into one thing that is a lot of purposeful and easier to investigate. A foot ulceration is associate degree open sore on the foot. Foot ulceration may be a shallow red crater that involves solely the surface skin. Foot ulceration can also be terribly deep. There are many issues with current practices for treating diabetic foot ulcers. First, patients should move to their wound clinic on a daily basis to own their wounds checked by their clinicians. Second, a clinician’s wound assessment method is predicated on visual examination. Technology using image analysis techniques may be a potential resolution to each these issues. The wound image is captured by the camera on the smart phone with the help of a picture capture box. In the Image pre-processing step, the electronic image is first down-sampled into high-resolution image. Second, the pictures are sleeked to get rid of noise (which is assumed primarily to be Gaussian noise made by image acquisition process) by mistreatment the Gaussian blur methodology whose variance with 0.5 was through empirical observation judged to be optimum supported multiple experiments. The foot outline is decided by using Sobel edge detection methodology. Then, Region of interest is developed by keeping the foot as foreground and rest as background. Color segmentation is performed by partitioning pixels into totally different clusters supported color similarity and abstraction relation. The RYB image is transformed to HSV and color thresholding is performed to find the outer area.