文章基本信息

标题：Seismic Profile Texture Feature Extraction Algorithm Merged Directional Derivative into GLCM Method
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作者：Liu, Tianshi ; Xiao, Minmin
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2014
卷号：9
期号：11
页码：2738-2743
DOI：10.4304/jcp.9.11.2738-2743
语种：English
出版社：Academy Publisher
摘要：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.
关键词：seismic profile;feature extraction;directional derivative;gray level co-occurrence matrix;Haralick texture feature;weight factorseismic profile;feature extraction;directional derivative;gray level co-occurrence matrix;Haralick texture feature;we