CLASSIFICATION M ETHODS OFSKIN BURN IMAGES

In this paper, methods to automatically detect and categorize the severity of skin burn imagesusing various classification techniques are compared and presented. A database comprising of skin burn images belonging to patients of diverse ethnicity, gender and age are considered. First the images are preprocessed and then classified utilizing the pattern recognition techniques: Template Matching (TM), K nearest neighbor classifier (kNN) and Support Vector M achine (SVM). The classifier is trained for different skin burn grades using pre-labeled images and optimized for the features chosen. This algorithm developed, works as an automatic skin burn wound analyze r and aids in the diagnosis of burn victims.

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