|
|
September 2017 Issue Vol.7 No.9
Human Skin Texture Analysis using Image
Processing Techniques
https://ia601506.us.archive.org/5/items/vol7no09/vol7no09.pdf
G.Balakrishnan
Associate Professor & Head, Department of Computer Science,Navarasam Arts and Science College for Women, Erode,Tamil Nadu, India
A.Vennila
M.Phil Research Scholar, Department of Computer Science,Navarasam Arts and Science College for Women, Erode,Tamil Nadu, India
Abstract:
The skin properties like skin dryness, fungus
and allergic symptoms i.e. etching kind of problem
correlation with skin texture profile is discussed in the
proposed work. In the existing scenario, the skin images
are analyzed in frequency domain. However, 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 about the
skin sensitivity and is a new emerging skin texture
analysis tool. In the proposed work, skin gray color
profile has been taken as the input parameter in order to
ascertain the skin profile. In the proposed work, Gray
Level Co-occurrence Matrix of the skin image is
computed. The GLCM functions characterize 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 from this matrix. Further, the image
entropy and energies are also computed in order to
correlate the skin symptoms to the skin texture image.
Keywords:GLCM, Image, Texture.
