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Human Skin Texture Analysis using Image Processing Techniques

Human Skin Texture Analysis using Image Processing Techniques

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Human Skin Texture Analysis using Image Processing Techniques

The skin properties like skin dryn ess, fungus and allergic symptoms i.e. etching kind of problem correlation with skin texture profile is discussed in the propos ed thesis work. In the existing scenario, the sk in images are analyzed in frequency domain. H owever, it is observed that the skin color in texture images does not vary over a wide range. Hence, the histogram profile of the skin texture remains almost flat. In the proposed work, we have shifted the skin texture analysis towards the gray level profile analysis. The gray color profile of the skin texture may give fair idea abou t the skin sensitivity and is a new emerging skin texture analys is tool. In the prop osed work, skin gray color profile has been taken as the input parameter in order to ascertain the sk in profile. In the proposed thesis wo rk, Gray Level Co-occurrence Matrix of the skin image is computed. The GLCM functions characteri ze the texture of an image by calculating how often pairs of pixel with specific values and in a specified spatial relationship occur in an image, creating a GLCM, and then extracting statistical measures fr om this matrix. Further, the im age entropy and energies are also computed in order to correlate the skin symptoms to the skin texture images.


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This product was added to our catalog on Thursday 10 August, 2017.