Evaluation method of burn therapy effect by skin transplant based on image processing

We make an effect evaluation method of bum treatment based on image processing for quantitative evaluation of the treatment progress. We first converted the color space of image from RGB color space to L∗a∗b∗ color space and divided image using SLIC Super pixel algorithm. Subsequently, we separate a transplanted skin and burned skin using support vector machine (SVM). As a result, in our proposed method, the average of each of the evaluation indexes recorded a value of 85% or more.