Multi-Layer Feature Extraction with Deformable Convolution for Fabric Defect Detection

Jielin Jiang; Chao Cui; Xiaolong Xu; Yan Cui

doi:10.32604/iasc.2024.036897

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JOURNAL ARTICLE

Multi-Layer Feature Extraction with Deformable Convolution for Fabric Defect Detection

Jielin Jiang Chao Cui Xiaolong Xu Yan Cui

Year: 2024 Journal: Intelligent Automation & Soft Computing Vol: 39 (4)Pages: 725-744 Publisher: Taylor & Francis

DOI: 10.32604/iasc.2024.036897

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Keywords:

Convolution (computer science) Feature extraction Layer (electronics) Extraction (chemistry) Feature (linguistics) Artificial intelligence Pattern recognition (psychology) Computer science Geology Materials science Composite material Chemistry Chromatography Artificial neural network

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Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Optical measurement and interference techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Object Detection Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-Layer Feature Extraction with Deformable Convolution for Fabric Defect Detection

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