Evaluation of Shape Features for Efficient Classification Based on Rotational Invariant Using Texton Model
نویسندگان
چکیده
The present paper derived shape features on textons and texture orientation for rotation invariant stone texture classification of 2D images. To overcome the sensitive problems and to derive rotational invariant features on textons the present research represented textons on texture orientation matrix by reducing grey level range using a fuzzy logic. The proposed Texture orientation matrix (TOM) is formed by bitwise OR operator on Sobel and Canny edge detectors with an orientation of ten degrees at each step. The shape features are derived on the proposed “Texture Orientation Fuzzy Texton Binary Matrix (TOFTBM)”.The proposed TOFTBM with TSF is computationally attractive as it computes different features with limited number of selected pixels. The proposed method is compared with various methods and the result indicates the efficacy of the proposed method over the other methods.
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