An Image Texture Feature Extraction Method Based on Nested Triangle Structure
A triangular structure and image texture technology, applied in image data processing, image analysis, instruments, etc., can solve the problems of missing image information, incomplete texture image information, etc., achieve fewer sampling points, reduce the amount of statistical feature calculation, and be stable sexual effect
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[0061] Such as figure 1 As shown, the flow chart of a new image texture feature extraction method GDTM, in order to evaluate the stability and discrimination ability of the feature obtained by the method, the embodiment simulation experiment uses the UIUC texture library, which contains 25 types of textures, and each type contains 40 A 640×480 pixel grayscale texture image, Figure 4 This is an example image of this embodiment. In the experiment, 30 of the 7 types of pictures were selected as training pictures, and the remaining 10 pictures were used as test pictures. Figure 5 In order to calculate the specific execution flow of a picture GDTM matrix, the specific steps of the embodiment are as follows:
[0062] Step 1: Preprocess each original texture image in the UIUC library, and quantize the gray level of the image into G-level gray levels. In this embodiment, G=16.
[0063] Step 2: Scan the preprocessed picture pixel by pixel in row and column order to obtain the vert...
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