Computer Aided Automatic Detection and Diagnosis System of Wound and Ulcer Care for Diabetic Patient

The diabetic wound healing process is a complex task under the category of B40 classification and below. The medical expenses are high in private wound specialist organizations compared to government hospitals. This article designed a computer-aided automatic detection and classification method for wound and ulcer care for diabetic patients using image processing techniques by Edge detection, colour scale of tissues, wound area calculation, and percentage calculation with GUI. The system results, Combination of edge detection methodology and 2-D boundary technique and design with the significant three tissues classification which is harmful and required immediate medical responses are Granulation, Fibrin and Necrotic values are used for wound area determination. The result of the system will help the patient immediately, which is classified as high or less severity.