Computer Aided Automatic Detection and Diagnosis System of Wound and Ulcer Care for Diabetic Patient
Prakash K1, Syafrah Binti Abd Jalil2, Narmadha.G3, Rajesh.P.K4, Deivasigamani S5
1Prakash A, Faculty of Engineering & Computer Technology, AIMST University, Kedah, Malaysia.
2Syafrah Binti Abd Jalil, Faculty of Engineering & Computer Technology, AIMST University, Kedah, Malaysia.
3Narmadha G, Department of Electrical and Electronics Engineering, Sethu Institute of Technology, Virudhunagar, India.
4Rajesh P.K Faculty of Medicine, AIMST University, Kedah, Malaysia.
5Deivasigamani S*, Faculty of Engineering & Computer Technology, AIMST University, Kedah, Malaysia.
Manuscript received on January 20, 2022. | Revised Manuscript received on January 24, 2022. | Manuscript published on February 28, 2022. | PP: 51-57 | Volume-11 Issue-3, February 2022. | Retrieval Number: 100.1/ijeat.C33650211322 | DOI: 10.35940/ijeat.C3365.0211322
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Automatic Detection, Colour Segmentation, Diabetic Wound Ulcer, Wound Image Analysis, Wound Management System.
Scope of the Article: Design and Diagnosis