A Completed Modeling of Local Binary Pattern Operator for Texture Classification
Tsinghua University · Hong Kong Polytechnic University
Abstract
In this correspondence, a completed modeling of the local binary pattern (LBP) operator is proposed and an associated completed LBP (CLBP) scheme is developed for texture classification. A local region is represented by its center pixel and a local difference sign-magnitude transform (LDSMT). The center pixels represent the image gray level and they are converted into a binary code, namely CLBP-Center (CLBP_C), by global thresholding. LDSMT decomposes the image local differences into two complementary components: the signs and the magnitudes, and two operators, namely CLBP-Sign (CLBP_S) and CLBP-Magnitude (CLBP_M), are proposed to code them. The traditional LBP is equivalent to the CLBP_S part of CLBP, and we…
Citation impact
- FWCI
- 67.79
- Percentile
- 100%
- References
- 27
Authors
3Topics & keywords
- Local binary patterns
- Artificial intelligence
- Thresholding
- Pattern recognition (psychology)
- Pixel
- Mathematics
- Computer vision
- Invariant (physics)