Results 1 to 10 of about 147,711 (159)

Comparative Study on Local Binary Patterns for Mammographic Density and Risk Scoring [PDF]

open access: yesJournal of Imaging, 2019
Breast density is considered to be one of the major risk factors in developing breast cancer. High breast density can also affect the accuracy of mammographic abnormality detection due to the breast tissue characteristics and patterns.
Minu George, Reyer Zwiggelaar
doaj   +4 more sources

Diagnosis of Tempromandibular Disorders Using Local Binary Patterns [PDF]

open access: yesJournal of Biomedical Physics and Engineering, 2018
Background: Temporomandibular joint disorder (TMD) might be manifested as structural changes in bone through modification, adaptation or direct destruction.
Haghnegahdar A. A.   +3 more
doaj   +2 more sources

Efficient spatio-temporal local binary patterns for spontaneous facial micro-expression recognition. [PDF]

open access: yesPLoS ONE, 2015
Micro-expression recognition is still in the preliminary stage, owing much to the numerous difficulties faced in the development of datasets. Since micro-expression is an important affective clue for clinical diagnosis and deceit analysis, much effort ...
Yandan Wang   +3 more
doaj   +2 more sources

Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns [PDF]

open access: yesSensors, 2018
In the last few years, the world has witnessed a ground-breaking growth in the use of digital images and their applications in the modern society.
Esteban Alejandro Armas Vega   +3 more
doaj   +2 more sources

Dominant Local Binary Patterns for Texture Classification [PDF]

open access: yesIEEE Transactions on Image Processing, 2009
This paper proposes a novel approach to extract image features for texture classification. The proposed features are robust to image rotation, less sensitive to histogram equalization and noise. It comprises of two sets of features: dominant local binary patterns (DLBP) in a texture image and the supplementary features extracted by using the circularly
Max W K Law, Albert C S Chung
exaly   +4 more sources

Facial Expression Recognition Based on Local Binary Patterns and Kernel Discriminant Isomap [PDF]

open access: yesSensors, 2011
Facial expression recognition is an interesting and challenging subject. Considering the nonlinear manifold structure of facial images, a new kernel-based manifold learning method, called kernel discriminant isometric mapping (KDIsomap), is proposed ...
Xiaoming Zhao, Shiqing Zhang
doaj   +2 more sources

Convolutional neural networks and local binary patterns for hyperspectral image classification

open access: yesEuropean Journal of Remote Sensing, 2019
Convolutional neural networks (CNNs) have strong feature extraction capability, which have been used to extract features from the hyperspectral image. Local binary pattern (LBP) is a simple but powerful descriptor for spatial features, which can lessen ...
Xiangpo Wei, Xuchu Yu, Bing Liu, Lu Zhi
doaj   +2 more sources

Description of interest regions with local binary patterns

open access: yesPattern Recognition, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Matti Pietikäinen, Cordelia Schmid
exaly   +4 more sources

Local Binary Pattern Networks [PDF]

open access: yes2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
Emerging edge devices such as sensor nodes are increasingly being tasked with non-trivial tasks related to sensor data processing and even application-level inferences from this sensor data. These devices are, however, extraordinarily resource-constrained in terms of CPU power (often Cortex M0-3 class CPUs), available memory (in few KB to MBytes), and ...
Jeng-Hau Lin   +5 more
openaire   +1 more source

A TensorFlow implementation of Local Binary Patterns Transform

open access: yesMANAS: Journal of Engineering, 2021
Feature extraction layers like Local Binary Patterns (LBP) transform can be very useful for improving the accuracy of machine learning and deep learning models depending on the problem type.
Devrim Akgün
doaj   +1 more source

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