Abstract:

Foot ulcers will remain a major issue for patients who are diabetic. As things stand now, doctors and nurses determine the status of such wounds visually through inspection of the wound site and the general area around it as well as the progress of healing. Such issues could easily be handled if a better and cheaper alternative was available that would allow the patients to undertake the dressings of the wound easily, as this would in turn facilitate faster healing of the wound, reduce travelling costs and lower healthcare costs. This paper explains the creation of a new system of the detection and diagnosis of wound scaring which is the system based entirely on algorithms.In this paper, the proposed novel wound image analysis system implemented solely on the system. Firstly, wound image should be present in the system. After that,the system should perform wound segmentation by applying the accelerated mean-shift algorithm. Specifically, the outline of the foot is determined based on skin colour, and the wound boundary is found using a simple connected region detection method. Within the wound boundary, the healing status is next assessed based on red–green–blue color evaluation model. The processing algorithm of Mean Shift Algorithm & K-mean Algorithm both are Accurate & well suited for the available hardware & computational resource that can be provided by the candidate through image capture & image processing.

Description:

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