Texture classification by multi-predicate Local Binary Pattern operators. Mäenpää, T., Pietikäinen, M., & Ojala, 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 = {ec2ddb99-5860-35c7-8f63-9112e628e861},
created = {2019-11-19T16:28:47.588Z},
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last_modified = {2019-11-19T16:30:26.632Z},
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notes = {Proc. 15th International Conference on Pattern Recognition, Barcelona, Spain, 3:951 - 954.},
folder_uuids = {8292f5ec-1c57-4113-a303-25778e695f8c},
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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 and Pietikäinen, M and Ojala, T}
}
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