Automatic defect detection of texture surface with an efficient texture removal network

Ying Liang; Ke Xu; Peng Zhou; Dongdong Zhou

doi:10.1016/j.aei.2022.101672

ScienceGate Book Chapters

JOURNAL ARTICLE

Automatic defect detection of texture surface with an efficient texture removal network

Ying Liang Ke Xu Peng Zhou Dongdong Zhou

Year: 2022 Journal: Advanced Engineering Informatics Vol: 53 Pages: 101672-101672 Publisher: Elsevier BV

DOI: 10.1016/j.aei.2022.101672

Get Full-Text PDF Get Analytical Report

Keywords:

Artificial intelligence Convolution (computer science) Computer science Texture compression Computer vision Convolutional neural network Texture filtering Similarity (geometry) Transformation (genetics) Wavelet transform Pattern recognition (psychology) Texture (cosmology) Bidirectional texture function Texture synthesis Wavelet Image texture Artificial neural network Image (mathematics) Image processing

Metrics

Cited By

5.39

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Surface Roughness and Optical Measurements

Physical Sciences → Engineering → Computational Mechanics

Optical measurement and interference techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Automatic defect detection of texture surface with an efficient texture removal network

Metrics

Citation History

Topics

Related Documents

A lightweight network for weak texture surface defect detection

Multi-scale Texture Network for Industrial Surface Defect Detection

A Texture Removal Method for Surface Defect Detection in Machining

Surface defect detection by a texture analysis with a neural network

Texture Defect Detection