Comparative Study on Local Binary Patterns for Mammographic Density and Risk Scoring [PDF]
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
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Diagnosis of Tempromandibular Disorders Using Local Binary Patterns [PDF]
Background: Temporomandibular joint disorder (TMD) might be manifested as structural changes in bone through modification, adaptation or direct destruction.
Haghnegahdar A. A. +3 more
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Efficient spatio-temporal local binary patterns for spontaneous facial micro-expression recognition. [PDF]
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
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Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns [PDF]
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
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Dominant Local Binary Patterns for Texture Classification [PDF]
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
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Facial Expression Recognition Based on Local Binary Patterns and Kernel Discriminant Isomap [PDF]
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
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Convolutional neural networks and local binary patterns for hyperspectral image classification
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
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Description of interest regions with local binary patterns
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Matti Pietikäinen, Cordelia Schmid
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Local Binary Pattern Networks [PDF]
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
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A TensorFlow implementation of Local Binary Patterns Transform
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
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