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Evaluation of deepfake detection using YOLO with local binary pattern histogram [PDF]

open access: yesPeerJ Computer Science, 2022
Recently, deepfake technology has become a popularly used technique for swapping faces in images or videos that create forged data to mislead society. Detecting the originality of the video is a critical process due to the negative pattern of the image ...
Štěpán Hubálovský   +3 more
doaj   +5 more sources

Unsupervised Local Binary Pattern Histogram Selection Scores for Color Texture Classification [PDF]

open access: yesJournal of Imaging, 2018
These last few years, several supervised scores have been proposed in the literature to select histograms. Applied to color texture classification problems, these scores have improved the accuracy by selecting the most discriminant histograms among a set
Mariam Kalakech   +3 more
doaj   +5 more sources

Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features [PDF]

open access: yesLecture Notes in Computer Science, 2009
In this paper, we propose Local Binary Pattern Histogram Fourier features (LBP-HF), a novel rotation invariant image descriptor computed from discrete Fourier transforms of local binary pattern (LBP) histograms. Unlike most other histogram based invariant texture descriptors which normalize rotation locally, the proposed invariants are constructed ...
Jiří Matas   +2 more
exaly   +2 more sources

Simple Detection of Epilepsy From EEG Signal Using Local Binary Pattern Transition Histogram

open access: yesIEEE Access, 2021
This paper proposed a simple but highly accurate feature extraction method for epilepsy detection from electroencephalogram (EEG) signals. Based on the combination of Discrete Wavelet Transform (DWT) and the newly proposed features Local Binary Pattern ...
Muhammad Yazid   +6 more
doaj   +3 more sources

HOLBP: Remote Sensing Image Registration Based on Histogram of Oriented Local Binary Pattern Descriptor

open access: yesRemote Sensing, 2021
Image registration has always been an important research topic. This paper proposes a novel method of constructing descriptors called the histogram of oriented local binary pattern descriptor (HOLBP) for fast and robust matching.
Yameng Hong   +5 more
doaj   +3 more sources

Multi scale supervised entropy weighted binary pattern for texture classification [PDF]

open access: yesScientific Reports
Texture is a crucial visual and sensory attribute in understanding the world. The complexity of imaging environments, variations in acquisition angles and distances, and differences in resolution make representing multi-scale texture features a core ...
Xiaochun Xu, Bin Li
doaj   +2 more sources

Wood Defect Classification Based on Two-Dimensional Histogram Constituted by LBP and Local Binary Differential Excitation Pattern

open access: yesIEEE Access, 2019
A classification algorithm based on LBP and local binary differential excitation pattern is presented for the classification of the crack and the linear mineral line on the surface of the birch veneer.
Shaoli Li, Dejian Li, Weiqi Yuan
doaj   +3 more sources

Implementation of Local Binary Pattern Histogram for Automatic Locker System

open access: yesInternational Journal of Informatics, Information System and Computer Engineering
This research presents the design and evaluation of an automatic locker system employing Local Binary Pattern Histogram (LBPH)-based facial recognition for secure, keyless access.
Tri Rahajoeningroem   +5 more
doaj   +2 more sources

PERBANDINGAN METODE PENGENALAN WAJAH MELALUI SURVEILLANCE BERBASIS PENGENALAN WAJAH

open access: yesSINTECH (Science and Information Technology) Journal, 2021
Until now, the facial recognition method is still very difficult to do, especially when the facial confirmation process is accurate in real time. Facial recognition methods that have been tested, such as eigenface, Local Binary Pattern Histogram (LBPH),
I Nyoman Tri Anindia Putra   +1 more
doaj   +1 more source

Tire appearance defect detection method via combining HOG and LBP features

open access: yesFrontiers in Physics, 2023
Tire appearance defect detection based on machine vision is an effective technology to improve the tire production quality. The detection process can be completed by the way of non-destructive testing.
Hongbin Liu   +4 more
doaj   +1 more source

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