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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.