Skin infection identification using color and euclidean distance algorithm

Abstract

In this paper we have discussed the method to detect skin identification. This method includes three main steps: First segmentation based on the pixel values, in which when the particular pixel values lies in the range it is skin area. Second is the post processing stage in which some area which is not the skin color but counted as a skin area is eliminated and some which is not counted as skin is added as possible. Third the segmented area is masked with original image (input image) and Finally Euclidean Distance is applied to find out Color difference between the segmented skin and mean of reference image based on threshold values classify the skin is infected or not. © 2012 Springer-Verlag.