Results 71 to 80 of about 33,755 (241)

Completed local binary pattern based speech anti-spoofing

open access: yesDianxin kexue, 2021
In view of the fact that the disguised speech detection algorithm based on local binary pattern (LBP) is not effective in detecting the spoofing attack from voice conversion, an anti-spoofing method based on completed local binary pattern (CLBP) was ...
Jian XU   +5 more
doaj   +2 more sources

Local Binary Pattern-Based Adaptive Differential Evolution for Multimodal Optimization Problems

open access: yesIEEE Transactions on Cybernetics, 2020
The multimodal optimization problem (MMOP) requires the algorithm to find multiple global optima of the problem simultaneously. In order to solve MMOP efficiently, a novel differential evolution (DE) algorithm based on the local binary pattern (LBP) is ...
Hong Zhao   +7 more
semanticscholar   +1 more source

Development of a Grasshopper‐Leg‐Inspired Back‐Type Exoskeleton for the Reduction of Muscle Activation During Stoop Activities

open access: yesJournal of Field Robotics, Volume 43, Issue 2, Page 739-760, March 2026.
ABSTRACT Farmers frequently suffer from musculoskeletal disorders, particularly lower back pain (LBP), mainly due to occupational ergonomic factors such as repetitive stooping and lifting. This study proposes using an exoskeleton to reduce LBP risk by providing external torque to the hip joints.
Dang Khanh Linh Le, Wei Chih Lin
wiley   +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

Development of a Robust Multi-Scale Featured Local Binary Pattern for Improved Facial Expression Recognition

open access: yesSensors, 2020
Compelling facial expression recognition (FER) processes have been utilized in very successful fields like computer vision, robotics, artificial intelligence, and dynamic texture recognition.
Suraiya Yasmin   +4 more
doaj   +1 more source

An Effective Approach for Recognition of Crop Diseases Using Advanced Image Processing and YOLOv8

open access: yesFood Science &Nutrition, Volume 14, Issue 2, February 2026.
The performance of processed images is evaluated using mean‐squared‐error and peak‐signal‐to‐noise ratio. After the processing phase, an advanced deep learning model, YOLOv8, was used for the segmentation and classification of crop diseases. Using a large dataset comprising 32 diseases to train our model, we implemented Transfer Learning using YOLOv8 ...
Muhammad Nouman Noor   +7 more
wiley   +1 more source

Improvement of Remote Sensing Image Classification Method Based on Sparse Representation [PDF]

open access: yesJisuanji gongcheng, 2016
Owing to the traditional Sparse Representation-based Classification(SRC) algorithm can not extract image texture information comprehensively,the result of classification is not high.In order to solve this problem,the Local Binary Pattern(LBP) feature is ...
TANG Xiaoqing,LIU Yazhou,CHEN Junlong
doaj   +1 more source

Robust Adaptive Median Binary Pattern for noisy texture classification and retrieval

open access: yes, 2018
Texture is an important cue for different computer vision tasks and applications. Local Binary Pattern (LBP) is considered one of the best yet efficient texture descriptors. However, LBP has some notable limitations, mostly the sensitivity to noise.
Alkhatib, Mohammad, Hafiane, Adel
core   +1 more source

Low-Density Polyethylene (LDPE) Food Packaging Defect Classification using Local Binary Pattern (LBP)

open access: yesJournal of Physics: Conference Series, 2021
Abstract The motivation of this research is to automate the current food packaging inspection process by implementing the non-destructive approach. The current practices require human intervention where human vision tends to overlook the faulty on the package resulting in accuracy dilemma.
N Sabri   +4 more
openaire   +1 more source

Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies

open access: yesExpert Systems, Volume 43, Issue 2, February 2026.
ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez   +2 more
wiley   +1 more source

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