School of Computer Science, Xi’an Shiyou University, Xi’an, China

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Abstract—In view of the texture direction suppression problem of seismic profile, this paper proposes a new texture feature extraction algorithm merged directional derivative into GLCM method. The algorithm introduces the weight factor by utilizing the directional derivative of the seismic profile. Moreover, the Haralick texture features such as ASM, contrast, entropy and IDM are extracted based on the GLCM method. Then, the ultimate feature set is extracted by merging the Haralick texture features and weight factor together. The experimental results show that the proposed algorithm can extract more accurate seismic profile feature set and avoid successfully the texture direction suppression problem of seismic profile. The ability of profile identification and segmentation has a certain improved compared with the GLCM method.

Index Terms—Seismic profile, feature extraction, directional derivative, gray level co-occurrence matrix, Haralick texture feature, weight factor.

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Cite: Tianshi Liu and Minmin Xiao, "Seismic Profile Texture Feature Extraction Algorithm Merged Directional Derivative into GLCM Method," Journal of Computers vol. 9, no. 11, pp. 2738-2743, 2014.