Results 51 to 60 of about 1,054,370 (330)

Deep Local Binary Patterns

open access: yes, 2017
Local Binary Pattern (LBP) is a traditional descriptor for texture analysis that gained attention in the last decade. Being robust to several properties such as invariance to illumination translation and scaling, LBPs achieved state-of-the-art results in several applications.
Fernandes, Kelwin, Cardoso, Jaime S.
openaire   +2 more sources

Analysis of local binary patterns and uniform local binary patterns for palm vein biometric recognition [PDF]

open access: yes2017 International Carnahan Conference on Security Technology (ICCST), 2017
Palm vein recognition has emerged as a novelty highly invariant biometric technique that is difficult to forge due to their internal nature. In this work the texture descriptors Local Binary Patterns (LBP) and Uniform Local Binary Patterns (LBPU) are analyzed as feature extraction methods for biometric verification based on palm veins.
Aglio Caballero, Alicia   +3 more
openaire   +2 more sources

Bleeding Detection in Gastrointestinal Images using Texture Classification and Local Binary Pattern Technique: A Review [PDF]

open access: yesE3S Web of Conferences, 2020
Texture analysis has proven to be a breakthrough in many applications of computer image analysis. It has been used for classification or segmentation of images which requires an effective description of image texture. Due to high discriminative power and
Goyal Aparna, Gunjan Reena
doaj   +1 more source

Surface Defect Classification for Hot-Rolled Steel Strips by Selectively Dominant Local Binary Patterns [PDF]

open access: yes, 2019
Developments in defect descriptors and computer vision-based algorithms for automatic optical inspection (AOI) allows for further development in image-based measurements.
Ai, Jiaqiu   +6 more
core   +3 more sources

Pit pattern classification using extended Local Binary Patterns [PDF]

open access: yes2009 9th International Conference on Information Technology and Applications in Biomedicine, 2009
In this work we present a method for automated classification of endoscopic images according to the pit pattern classification scheme. Images taken during colonoscopy are transformed using a modified version of the Local Binary Patterns operator (LBP).
M. Hafner   +5 more
openaire   +1 more source

Discriminative Spatiotemporal Local Binary Pattern with Revisited Integral Projection for Spontaneous Facial Micro-Expression Recognition

open access: yesIEEE Transactions on Affective Computing, 2019
Recently, there have been increasing interests in inferring mirco-expression from facial image sequences. Due to subtle facial movement of micro-expressions, feature extraction has become an important and critical issue for spontaneous facial micro ...
Xiaohua Huang   +5 more
semanticscholar   +1 more source

Texture feature method based on Gaussian local binary pattern

open access: yesDianzi Jishu Yingyong, 2018
The texture description of machine vision is important for image analysis and pattern recognition. To improve the robustness of feature describing, a texture feature based on Gaussian local binary pattern(LBP) is proposed in this paper.
Huang Chen, Fei Jiyou, Liu Xiaodong
doaj   +1 more source

Glassy features of a Bose Glass

open access: yes, 2008
We study a two-dimensional Bose-Hubbard model at a zero temperature with random local potentials in the presence of either uniform or binary disorder. Many low-energy metastable configurations are found with virtually the same energy as the ground state.
A. Vezzani   +13 more
core   +1 more source

Local Binary Patterns for Graph Characterization [PDF]

open access: yes2018 24th International Conference on Pattern Recognition (ICPR), 2018
In this paper we propose a novel approach for defining Local Binary Patterns (LBP) to directly encode graph structure. LBP is a simple and widely used technique for texture analysis in static 2D images, and there is no work in the literature describing its generalisation to graphs.
Jawad, Mohammed   +2 more
openaire   +2 more sources

Time after time – circadian clocks through the lens of oscillator theory

open access: yesFEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo   +2 more
wiley   +1 more source

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