Texture feature extraction
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Cited by (34)
Off-line signature verification based on grey level information using texture features
2011, Pattern RecognitionCitation Excerpt :The grey level co-occurrence matrix (GLCM) method is a way of extracting second order statistical texture features from the image [31]. This approach has been used in a number of applications, including ink type analysis [16], e.g. [32–34]. For a statistically reliable estimation of the relative frequency we need a sufficiently large number of occurrences for each event.
Neural networks for the classification of image texture
1994, Engineering Applications of Artificial IntelligenceStatistical feature matrix for texture analysis
1992, CVGIP: Graphical Models and Image ProcessingDetecting texture edges from images
1992, Pattern RecognitionUnsupervised textural classification of images using the texture spectrum
1992, Pattern RecognitionTextural filters based on the texture spectrum
1991, Pattern Recognition
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