Image Texture Feature Extraction Using GLCM Approach
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268 citations
Cites methods from "Image Texture Feature Extraction Us..."
...Furthermore, the GLCM algorithm is easy to implement and has been shown to give very good results in a large fields of applications (see [25])....
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232 citations
Cites methods from "Image Texture Feature Extraction Us..."
...The grey-level co-occurrence matrix (GLCM) effectively describes the patterns of images and textures (Hua et al. 2006, Mohanaiah et al. 2013)....
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Cites methods from "Image Texture Feature Extraction Us..."
...Gray level co-occurrence matrix (GLCM) [33] is used to extract texture features in wafer maps....
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...The typical statistical features [23], [33], i....
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...GLCM is a tabulation of how often different combinations of pixel grey levels occurring in an image....
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...The typical statistical features [23], [33], i.e., energy (f25), contract (f26), correlations (f27), entropy (f28), and uniformity (f29) are achieved on GLCM. 4) Projection Features: Radon transform-based features from wafer maps are also considered [5] in this study....
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References
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