Fabric defect detection based on the saliency map construction of target-driven feature
Author:
Affiliation:
1. College of Mechanical & Electronic Engineering, Xi’an Polytechnic University, Xi’an, China
2. College of Computer Science, Xi’an Polytechnic University, Xi’an, China
Funder
Xi'an science and technology plan project
China Federation of textile industry Science and technology guidance project
China Federation of textile industry Science and technology
Xi’an science and technology
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Polymers and Plastics,General Agricultural and Biological Sciences,Materials Science (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/00405000.2017.1414669
Reference20 articles.
1. Strip Steel Surface Defect Recognition Based on Novel Feature Extraction and Enhanced Least Squares Twin Support Vector Machine
2. Automated inspection of textile fabrics using textural models
3. Neural Mechanisms of Selective Visual Attention
4. Fabric defect image segmentation based on the visual attention mechanism of the wavelet domain
5. Identification of twill grey fabric defects using DC suppressed Fourier power spectrum sum features
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