Journal ArticleDOI
Detection of defects in fabrics using subimage-based singular value decomposition
Jayanta K. Chandra,Asit K. Datta +1 more
TLDR
Matrix singular value decomposition technique is employed for the detection of defects in fabrics by reducing the computational duty of operating over the whole image and removing the interlaced warp–weft grating structure from ROI.Abstract:
Matrix singular value decomposition technique is employed for the detection of defects in fabrics. Firstly, a region of interest (ROI) containing the defect is identified by a proposed adaptive partitioning technique – thus reducing the computational duty of operating over the whole image. The ROI portion of fabric image is then divided into small nonoverlapping subimages to further reduce the computational complexity and the average singular values of the subimages are calculated. To remove the interlaced warp–weft grating structure from ROI, which is the global information in the fabric image, selected singular values associated with positive average singular numbers are rejected and the fabric image is reconstructed to yield the image of the defect. Since the resulting image is saturated with noise and some unconnected parts mainly due to dissimilarity of the subimage of the fabric structure, postprocessing is carried out by binarization and edge detection to yield the edge map of the defect. Validity ...read more
Citations
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Journal ArticleDOI
Surface Defect Detection via Entity Sparsity Pursuit With Intrinsic Priors
TL;DR: This paper proposes an entity sparsity pursuit (ESP) method to identify surface defects that is compact and able to detect surface defects in an unsupervised manner, and demonstrates that ESP outperforms state-of-the-art methods.
Journal ArticleDOI
Singular value decomposition packet and its application to extraction of weak fault feature
Xuezhi Zhao,Bangyan Ye +1 more
TL;DR: The purpose of SVDP is to use singular value decomposition (SVD) to implement the signal decomposition way of wavelet packet, and signal processing examples show that SVDP has better performance at the extraction of weak fault feature than wavelets packet.
Journal ArticleDOI
Defect detection on the fabric with complex texture via dual-scale over-complete dictionary
TL;DR: A defect detection algorithm for fabrics with complex texture based on dual-scale over-complete dictionary that showed favorable self-adapting ability to other fabrics on the authors' own database and the computing time was greatly reduced as compared to single-scale algorithm.
Book ChapterDOI
The Real-Time Vision System for Fabric Defect Detection with Combined Approach
TL;DR: It could be concluded that the proposed real-time machine vision detection system provides a lower cost, higher performance and more excellent expansibility solution for enterprises via the variety of experiments.
Journal ArticleDOI
Fabric defect detection using independent component analysis and phase congruency
TL;DR: Compared with other algorithms, the proposed method not only has robustness with high detection rate, but also detects various types of defects quite well.
References
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Journal ArticleDOI
An SVD-based watermarking scheme for protecting rightful ownership
Ruizhen Liu,Tieniu Tan +1 more
TL;DR: A novel watermarking algorithm based on singular value decomposition (SVD) is proposed and results show that the newwatermarking method performs well in both security and robustness.
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Journal ArticleDOI
Defect detection in textured materials using Gabor filters
Ajay Kumar,Grantham K. H. Pang +1 more
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Journal ArticleDOI
A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques
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Proceedings ArticleDOI
Fabric defect detection by Fourier analysis
Chi-Ho Chan,Grantham K. H. Pang +1 more
TL;DR: In this article, a simulated fabric model is used to understand the relationship between the fabric structure in the image space and in the frequency space, and two significant spectral diagrams are defined and used for analyzing the fabric defect.
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