Human skin texture analysis using GLCM and PNN

The skin properties like skin dryness, parasite and hypersensitive side effects i.e. carving sort of issue relationship with skin composition profile is examined in the proposed thesis work. In the current situation, the skin images are analyzed in frequency domain. However, it is watched that the skin shading in surface images does not differ over a wide range. In this way, the histogram profile of the skin structure remains level. In the current work had done based on moved the skin surface analysis towards the gray level profile examination. The gray shading profile of the skin composition may give reasonable thought regarding the skin affectability and is another rising skin surface examination instrument. In the proposed work, gray Level skin image is enrolled as info parameter so as to discover skin composition investigation, through gray level co-occurrence matrix of skin image computed. Here in this proposed method DWT is using for dividing the image in to high and low frequency components of the input image. Features are extracted from this sub bands of the input image.