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《Acta Electronica Sinica》 2006-01
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Research on Computation of GLCM of Image Texture

BO Hua,MA Fu-long,JIAO Li-cheng (Department of Automatization,Xidian University,Xi'an,Shaanxi 710071,China)  
The Gray Level Co-occurrence Matrix (GLCM) has been proved to be a promising method for image texture analysis.However,the parameters in computing the GLCM of an image can be selected from a wide range,which results in a large amount of computation to be needed and makes it difficult to analyze the image textures.To simplify the computation of GLCM,we analyze the computation of GLCM by using Markov Chain property.We prove that GLCM is independent of distance and angle when distance is large enough.According to our analysis,the computation of GLCM is simplified by reducing the number of selected values of distance and angle.Finally,we give simulation results on natural texture images and SAR images to validate the theoretical analysis.
【Fund】: 国家自然科学基金(No.60133010)
【CateGory Index】: TP391.41
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