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Median robust extended local binary pattern for texture classification
2015
2015 IEEE International Conference on Image Processing (ICIP)
Local binary patterns (LBP) are considered among the most computationally efficient high-performance texture features. However, the LBP method is very sensitive to image noise and is unable to capture macrostructure information. To best address these disadvantages, in this paper, we introduce a novel descriptor for texture classification, the median robust extended LBP (MRELBP). Different from the traditional LBP and many LBP variants, MRELBP compares regional image medians rather than raw
doi:10.1109/icip.2015.7351216
dblp:conf/icip/LiuFPL15
fatcat:xogqixgz4vddpkjwfj22wubpra