A Texture Extraction Method for Images Using Gray-Level Co-occurrence Matrix
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There are multiple methods available for extracting texture from images, and one straightforward and efficient approach involves using the Gray-Level Co-occurrence Matrix (GLCM). GLCM is a statistical method based on pixel intensity values that characterizes image texture by computing the relationships between pixel grayscale values. This technique effectively extracts texture information from images, providing a crucial foundation for subsequent image analysis and processing tasks. In implementation, GLCM can be computed by defining a spatial relationship (e.g., offset distance and direction) between pixel pairs and accumulating co-occurrence frequencies of specific intensity pairs across the image. Common texture features derived from GLCM include contrast, correlation, energy, and homogeneity, which can be calculated using mathematical formulas applied to the matrix values.
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