Texture classification by multi-predicate Local Binary Pattern operators. Mäenpää T, P., M., &., O., T. In 2000. abstract bibtex This paper benchmarks the simple Local Binary Pattern (LBP) approach in the supervised texture segmentation problems of the recent comparative study of Randen and Husøy. A multi-predicate version of LBP is proposed, making our approach even more powerful for images containing textures at multiple scales.
@inProceedings{
title = {Texture classification by multi-predicate Local Binary Pattern operators.},
type = {inProceedings},
year = {2000},
id = {cc96d833-8223-3bd9-a0b1-7e3cd9dd1be9},
created = {2019-11-19T13:01:29.953Z},
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last_modified = {2019-11-19T13:45:22.379Z},
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notes = {Proc. 15th International Conference on Pattern Recognition, Barcelona, Spain, 3:951 - 954.},
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abstract = {This paper benchmarks the simple Local Binary Pattern (LBP) approach in the supervised texture segmentation problems of the recent comparative study of Randen and Husøy. A multi-predicate version of LBP is proposed, making our approach even more powerful for images containing textures at multiple scales.},
bibtype = {inProceedings},
author = {Mäenpää T, Pietikäinen M & Ojala T}
}
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