Description

 Here we address a supervised method for determining texel size of a texture.  The texel size can be used as the maximum displacement for constructing glcm.  The feature value of texture image will be calculated by using GLCM(Gray Level Co-occurrence Matrix).  The status of image will be classified by K-nearest neighbor classifier.  Gray Level Co-occurrence Matrix (GLCM) is one of the most powerful methods for extracting texture information. GLCM extracts occurrence probability of intensities with a specific displacement between pair pixels.  Most applications of GLCM use a single displacement or a distinct number of displacements. Maximum displacement between pair pixels is dependent on Texel size.  So approaches that use distinct displacements for all textures taken from different distances from texture surface do not classify textures properly.  This paper introduces a supervised method for determining Texel size of a texture.  Texel size can be used as the maximum displacement for constructing gray-level co-occurrence matrix.  This method uses variances of intensifies in scale space levels to extract features