Title :
Texture classification by multi-predicate local binary pattern operators
Author :
Topi, Maenpaa ; Matti, Pietikäinen ; Timo, Ojala
Author_Institution :
Dept. of Electr. Eng., Oulu Univ., Finland
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 Husoy (1999). A multi-predicate version of LBP is proposed, making our approach even more powerful for images containing textures at multiple scales
Keywords :
image classification; image segmentation; image texture; image texture; local binary pattern; multiple scale textures; multiple-predicate; texture classification; texture segmentation; Computational complexity; Data mining; Feature extraction; Filtering; Gabor filters; Histograms; Image segmentation; Image texture; Machine vision; Tin;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.903699
