Opposite Color Local Binary Patterns (OC-LBP)
The function implements OC-LBP (Opposite COlor Local Binary Pattern analysis).
See OC-LBP description in: [1] Maenpaa T. "The local binary pattern approach to texture analysis{extensions and applications"; 2003. Ph.D. thesis, University of Oulu. [2] Maenpaa T. Matti P. and Jaakko V."Separating Color and Pattern Information for Color Texture Discrimination"; University of Oulu, Finland
Syntax
OCLBP= oppositeColorLBP(inImg);
OCLBP= oppositeColorLBP(inImg, filtDims);
OCLBP= oppositeColorLBP(inImg, filtDims, chnsComb);
OCLBP= oppositeColorLBP(inImg, filtDims, chnsComb, isEfficient);
Description
The OCLBP tests the relation between pixel and it's neighbors, encoding this relation into a binary word. This allows detection of patterns/features. As opposed to the regular LBP, the pixel and it's neighborhood can belong to different colors, thus resulting in ac Opposite Color relations. This operator is proposed to identify inter color pattern relation, capable of achieving much richer feature space.
인용 양식
Nikolay S. (2024). Opposite Color Local Binary Patterns (OC-LBP) (https://www.mathworks.com/matlabcentral/fileexchange/44284-opposite-color-local-binary-patterns-oc-lbp), MATLAB Central File Exchange. 검색됨 .
MATLAB 릴리스 호환 정보
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- Image Processing and Computer Vision > Computer Vision Toolbox > Feature Detection and Extraction >
- Image Processing and Computer Vision > Computer Vision Toolbox > Feature Detection and Extraction > Local Feature Extraction > LBP - Local Binary Patterns >
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation > Color Segmentation >
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버전 | 게시됨 | 릴리스 정보 | |
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1.0.0.0 |