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Discriminatively weighted multi-scale Local Binary Patterns: Applications in prostate cancer diagnosis on T2W MRI
2013
2013 IEEE 10th International Symposium on Biomedical Imaging
In this paper, we present discriminatively weighted Local Binary Patterns (DWLBP), a new similarity metric to match Multi-scale LBP (MsLBP) in Hamming space. While MsLBP is widely used in image processing on account of its extremely fast bitwise operations on modern CPU, identifying a good metric that measures the dissimilarity of MsLBP remains an open problem. The Hamming score is typically computed at each individual scale and the scores across scales are summed up. This approach however
doi:10.1109/isbi.2013.6556496
dblp:conf/isbi/WangVM13
fatcat:o4udsimejvfy7j5meymbkb7e6a