Fabric defect inspection based on isotropic lattice segmentation

DOI10.1016/J.JFRANKLIN.2017.05.035zbMath1395.94040OpenAlexW2626955082MaRDI QIDQ1661246

Jiuzhen Liang, Liang Jia

Publication date: 16 August 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.05.035

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (2)

Segmentation of the fabric pattern based on improved fruit fly optimization algorithm ⋮ Fabric defect inspection based on lattice segmentation and lattice templates

Cites Work

• An evolutionary system for near-regular texture synthesis
• Ellipsoidal decision regions for motif-based patterned fabric defect detection
• Optimal gabor filters for textile flaw detection
• Motif-based defect detection for patterned fabric
• Real-Time Vision-Based System for Textile Fabric Inspection
• Matching pursuits with time-frequency dictionaries
• Coupled Variational Image Decomposition and Restoration Model for Blurred Cartoon-Plus-Texture Images With Missing Pixels
• Sparse Image and Signal Processing

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