Optimizing LBP structure for visual recognition using binary quadratic programming

J Ren, X Jiang, J Yuan, G Wang - IEEE Signal Processing …, 2014 - ieeexplore.ieee.org
Local binary pattern (LBP) and its variants have shown promising results in visual
recognition applications. However, most existing approaches rely on a pre-defined structure …

Learning LBP structure by maximizing the conditional mutual information

J Ren, X Jiang, J Yuan - Pattern Recognition, 2015 - Elsevier
Local binary patterns of more bits extracted in a large structure have shown promising
results in visual recognition applications. This results in very high-dimensional data so that it …

2D-LBP: an enhanced local binary feature for texture image classification

B Xiao, K Wang, X Bi, W Li, J Han - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The local binary pattern (LBP) and its variants have shown the effectiveness in texture
images classification, face recognition, and other applications. However, most of these LBP …

A chi-squared-transformed subspace of LBP histogram for visual recognition

J Ren, X Jiang, J Yuan - IEEE Transactions on Image …, 2015 - ieeexplore.ieee.org
Local binary pattern (LBP) and its variants have been widely used in many recognition tasks.
Subspace approaches are often applied to the LBP feature in order to remove unreliable …

Local adaptive binary patterns using diamond sampling structure for texture classification

Z Pan, X Wu, Z Li, Z Zhou - IEEE signal processing letters, 2017 - ieeexplore.ieee.org
Local binary pattern (LBP) is sensitive to the noise and suffers from limited discriminative
capability, and many LBP variants are reported in the recent literatures. Although a lot of …

Central pixel selection strategy based on local gray-value distribution by using gradient information to enhance LBP for texture classification

Z Pan, X Wu, Z Li - Expert Systems with Applications, 2019 - Elsevier
Local binary pattern (LBP) has been successfully used in computer vision and pattern
recognition applications, such as biomedical image analysis, remote sensing and image …

Learning completed discriminative local features for texture classification

Z Zhang, S Liu, X Mei, B Xiao, L Zheng - Pattern Recognition, 2017 - Elsevier
Local binary patterns (LBP) and its variants have shown great potentials in texture
classification tasks. LBP-like texture classification methods usually follow a two-step feature …

Two decades of local binary patterns: A survey

M Pietikäinen, G Zhao - Advances in independent component analysis and …, 2015 - Elsevier
Texture is an important characteristic for many types of images. In recent years, very
discriminative and computationally efficient local texture descriptors based on local binary …

Region description using extended local ternary patterns

WH Liao - 2010 20th international conference on pattern …, 2010 - ieeexplore.ieee.org
The local binary pattern (LBP) operator is a computationally efficient local texture descriptor
and has found many useful applications. However, its sensitivity to noise and the high …

Multi-scale local binary patterns based on path integral for texture classification

Q Lin, W Qi - 2015 IEEE International Conference on Image …, 2015 - ieeexplore.ieee.org
Local binary pattern (LBP) is an effective image texture descriptor due to its high
discrimination and easy computation. Moreover, as an extension, multi-scale LBP (MS-LBP) …