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