Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol. 9, Issue 5 , 2022
Wound Assessment System Patients of Foot Diabetes Identification

Author : K Lakshmi Priya 1 M Pallavi 2 Prasad B 3

Date of Publication :7th March 2016

Abstract: Diabetic foot ulcers represent a serious health issue. Today clinicians and nurses produce wound assessment by observing the wound size and healing status visually. Here the patients also have an opportunity to play an active role. This method enables the patients and clinicians to take a more active role in daily wound care which can quicken wound healing and also saves the travel cost, reduce healthcare expenses. As the pervasiveness of Smartphone’s with a highresolution digital camera, assessing wounds by analyzing the images of constant foot ulcers. A wound image analysis system is implemented on the android smart phone. The wound image is occupied by the camera on the smart phone with the help of an image capture box. Later that, the smart phone performs wound segmentation by applying the accelerated mean-shift algorithm. The outline of the foot is identified based on skin color, and the wound boundary is recognized using a simple connected region detection method. The healing status is beside assessed based on red–yellow–black color evaluation model with in the boundary of the wound. Further, the healing status is significantly assessed, based on the analysis of patient’s time records. The test results on wound images collected in UMASS—Memorial Health Center Wound Clinic (Worcester, MA).

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