Gray-Level Co-occurrence Matrix Implementation based on Edge Detection Information for Surface Texture Analysis

نویسندگان

  • Biswajit Pathak
  • Ankita Bhuyan
  • Debajyoti Barooah
چکیده

Texture is an important property used in classifying the regions of interests in an image. Literally, it is defined as the uniformity of a substance or a surface. Technically, it gives us the information about the spatial arrangement of structures in an image. One of the earliest methods used for texture feature extraction is the Gray-Level Co-occurrence Matrix (GLCM) which contains second order statistical information of neighboring pixels of an image. In this paper, we aim to produce a texture descriptor using GLCM matrix together with an edge detector operator, namely, Sobel operator in a non-destructive and contactless way. Such a descriptor is implemented to quantify the surface structure of a comparatively rough and smooth surface. Also, we have discussed about the importance of direction and distance parameters while GLCM processing.

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تاریخ انتشار 2014