Results 251 to 260 of about 1,054,370 (330)

Face Recognition Attendance System Using Local Binary Pattern Algorithm

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN), 2023
In the digital age of today, face recognition technology is essential and is utilized by almost all businesses. one of the technologies that made the most use of biometrics.
Kumar P, Salman Latheef T A, S. R
semanticscholar   +1 more source

Robust Texture Description Using Local Grouped Order Pattern and Non-Local Binary Pattern

IEEE transactions on circuits and systems for video technology (Print), 2021
Local binary pattern (LBP) and its many variants have shown effectiveness for texture classification. However, most of these LBP methods focus on encoding local intensity differences between a central pixel and its neighboring sampling points and ...
Tiecheng Song, Jie Feng, Lin Luo, Chenqiang Gao, Hongliang Li   +4 more
semanticscholar   +1 more source

Multidimensional Local Binary Pattern for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2022
For the large amount of spatial and spectral information contained in hyperspectral image (HSI), feature description of HSI has attracted widespread concern in recent years.
Yanshan Li, Haojin Tang, W. Xie, Wenhan Luo   +3 more
semanticscholar   +1 more source

A Privacy-Preserving Image Retrieval Scheme Using Secure Local Binary Pattern in Cloud Computing

IEEE Transactions on Network Science and Engineering, 2021
The rapid growth of digital images motivates organizations and individuals to outsource image storage and computation to the cloud. However, the defenseless upload will raise the risk of privacy leakage while the simple encryption would impede the ...
Zhihua Xia, Lan Wang, Jianguo Tang, N. Xiong, J. Weng   +4 more
semanticscholar   +1 more source

Environmental Sound Classification Using Local Binary Pattern and Audio Features Collaboration

IEEE transactions on multimedia, 2021
This paper presents a new approach to classify environmental sounds using a texture feature local binary pattern (LBP) and audio features collaboration.
Ohini Kafui Toffa, M. Mignotte
semanticscholar   +1 more source

A Review of Local Binary Pattern Based texture feature extraction

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2021
In the sphere of image processing, image data investigation is required related to a specific application in order to extract the suggestive information and reach defined and crisp culminations.
N. Kaur, Nahida Nazir, Manik
semanticscholar   +1 more source

Soft local binary patterns

2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR), 2015
Local Binary Pattern (LBP) is known as one of the most effective local descriptors for image recognition. It is invariant to monotonic gray-scale changes of the image. Local neighborhood information is gathered for each pixel of the image, and a binary code is generated by comparing its value with the value of the center pixel.
Ran Li, Xuezhen Li, Takio Kurita
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Forest fire flame and smoke detection from UAV-captured images using fire-specific color features and multi-color space local binary pattern

Journal of Unmanned Vehicle Systems, 2020
In recent years, the frequency and severity of forest fire occurrence have increased, compelling the research communities to actively search for early forest fire detection and suppression methods.
F. M. Anim Hossain, Youmin Zhang, Masuda A. Tonima   +2 more
semanticscholar   +1 more source

Number Local binary pattern: An Extended Local Binary Pattern

2011 International Conference on Wavelet Analysis and Pattern Recognition, 2011
An extension of local binary pattern, named Number Local binary pattern (NLBP), is presented for texture analysis. First, the method divides the patterns into uniform and non-uniform according to the uniform measure. Second, the non-uniform pattern is further divided into different groups based on the numbers of ‘1’ bits and ‘0’ bits.
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A Bayesian Local Binary Pattern texture descriptor

2008 19th International Conference on Pattern Recognition, 2008
In this paper, a Bayesian LBP operator is proposed. This operator is formulated in a novel filtering, labeling and statistic (FLS) framework for texture descriptors. In the framework, the local labeling procedure, which is a part of many popular descriptors such as LBP, SIFT and VZ, can be modeled as a probability and optimization process. This enables
He Chu, Pietikäinen Matti, Ahonen Timo
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