Texture classification by multi-predicate Local Binary Pattern operators.

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},
 private_publication = {false},
 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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