The local binary pattern (LBP) operator is defined as a gray-scale invariant texture measure, derived from a general definition of texture in a local neighborhood.

The method is based on recognizing that certain local binary patterns termed ‘uniform’ are fundamental prop- erties of local image texture, and their occurrence histogram proves to be a very powerful tex- ture feature. We derive a generalized gray …

Nov 1, 2021 · Local binary pattern (LBP) is sensitive to inverse grayscale changes. To overcome this problem, several methods map each LBP code and its complement to the minimum one. However, without distinguishing LBP codes and their complements, these methods show limited description ability.

Aug 7, 2002 · Presents a theoretically very simple, yet efficient, multiresolution approach to gray-scale and rotation invariant texture classification based on local binary patterns and nonparametric discrimination of sample and prototype distributions.

Jun 1, 2015 · Local Binary Pattern (LBP) is an effective image descriptor based on joint distribution of signed gray level differences. Simplicity, discriminative power, computational efficiency and robustness to illumination changes are main properties of LBP.

Jun 1, 2013 · In view of the theoretical and practical value of local binary pattern (LBP), the various LBP methods in texture analysis and classification, face analysis and recognition, and other detection applications are reviewed.

Jul 22, 2020 · Local Binary Patterns are used to characterize the texture and pattern of an image/object in an image. However, unlike Haralick texture features, LBPs process pixels locally which leads to a more robust, powerful texture descriptor. How do Local Binary Patterns work?

Jan 3, 2022 · In consideration of situation on real time images that are having efficient operator on texture analysis for images, this paper covers the various strains of local binary patterns with their area of application, benefit, and their disadvantages for future shortcomings.

Jan 1, 2001 · We derive a generalized presentation that allows for realizing a gray scale and rotation invariant LBP operator for any quantization of the angular space and for any spatial resolution, and present a method for combining multiple operators for multiresolution analysis.

Jan 1, 2003 · This paper presents a theoretically very simple yet efficient approach for gray scale and rotation invariant texture classification based on local binary patterns and nonparametric discrimination of sample and prototype distributions.