Use of gray value distribution of run lengths for texture analysis
Pattern Recognition Letters
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Pattern Recognition Letters
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Pattern Recognition Letters
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Previous run length based texture analysis studies have mostly relied upon the use of run length or gray level distributions of the number of runs for characterizing the textures of images. In this study, some new joint run length-gray level distributions are proposed which offer additional insight into the image characterization problem and serve as effective features for a texturebased classification of images. Experimental evidence is offered to demonstrate the utilitarian value of these new concepts.