Textile fabric defect detection based on low-rank representation

Li, Peng; Liang, Junli; Shen, Xubang; Zhao, Minghua; Sui, Liansheng

doi:10.1007/s11042-017-5263-z

Cited by 43 publications

(36 citation statements)

References 56 publications

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“…This model exhibits good performance for strip steel defect detection. Li et al [11] devised a low-rank representation-based saliency detection model for textile fabric defect detection. Zhao et al [12] also presented a novel saliency detection model, which obviously improve the accuracy of automated defect segmentation.…”

Section: Introductionmentioning

confidence: 99%

Double Low-Rank and Sparse Decomposition for Surface Defect Segmentation of Steel Sheet

Zhou

Liu

et al. 2018

Applied Sciences

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Surface defect segmentation supports real-time surface defect detection system of steel sheet by reducing redundant information and highlighting the critical defect regions for high-level image understanding. Existing defect segmentation methods usually lack adaptiveness to different shape, size and scale of the defect object. Based on the observation that the defective area can be regarded as the salient part of image, a saliency detection model using double low-rank and sparse decomposition (DLRSD) is proposed for surface defect segmentation. The proposed method adopts a low-rank assumption which characterizes the defective sub-regions and defect-free background sub-regions respectively. In addition, DLRSD model uses sparse constrains for background sub-regions so as to improve the robustness to noise and uneven illumination simultaneously. Then the Laplacian regularization among spatially adjacent sub-regions is incorporated into the DLRSD model in order to uniformly highlight the defect object. Our proposed DLRSD-based segmentation method consists of three steps: firstly, using DLRSD model to obtain the defect foreground image; then, enhancing the foreground image to establish the good foundation for segmentation; finally, the Otsu’s method is used to choose an optimal threshold automatically for segmentation. Experimental results demonstrate that the proposed method outperforms state-of-the-art approaches in terms of both subjective and objective tests. Meanwhile, the proposed method is applicable to industrial detection with limited computational resources.

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Section: Introductionmentioning

confidence: 99%

Double Low-Rank and Sparse Decomposition for Surface Defect Segmentation of Steel Sheet

Zhou

Liu

et al. 2018

Applied Sciences

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“…Thus, information from numerous research fields correlate to ensure maximum productivity and getting optimum finite products [1][2][3][4][5][6][7][8][9][10][11][12]. The permanent qualitative evaluation of materials produced for the use of the army and the innovation of new ones, with better protection performances, require an efficient and sustainable management from industrial producers in the field [5,6,[13][14][15][16][17][18][19][20].…”

mentioning

confidence: 99%

Employment of Simulants for Testing Constructive Materials Designed for Body Surface Isolative Protection in Relation to Chemical Warfare Agents

Otřísal¹,

Florus²,

Barsan³

et al. 2018

Rev. Chim.

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Employment of simulants, thus spare testing compounds always takes the bigger value in the area of testing garments designated for body surface protection against the effects of chemical warfare agents. The aim of simulants usage is mainly to remove problems related to manipulation with high toxic compounds and to enable testing to such working places that have not got the permission for the treatment with chemical warfare agents and other highly toxic compounds. The paper summarizes some achieved results of measurements of chemical resistance which have been performed based on simulants. These results are put into mutual connection with the sulfur mustard which is recently used as a standard testing chemical compound.

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“…The process of achieving a finished product on the market has two key factors to satisfy both the customer / beneficiary (product quality) and the producer (economic performance). In order to achieve these goals, regardless of the area of interest, information from various fields correlates, ensuring high economic parameters and optimal finite products [1][2][3][4][5][6][7][8][9][10][11][12][13]. Permanent evaluation of the quality of materials used by the army and the discovery of superior ones implies an efficient and sustainable management by industrial producers in the field.…”

mentioning

confidence: 99%

“…Protecting the health of soldiers against chemical agents, pathogens, toxic or any other harmful nature is essential. Obtaining materials with protective qualities is in the forefront of the decision makers who manage the production of military equipment [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39].…”

mentioning

confidence: 99%

The Most Significant Influences of Decontamination Mixtures Containing Chlorinating and Oxidizing Agents on Barrier Materials Formed by Isobutylene-Isoprene Rubber

Otřísal¹,

Melicharik²,

Švorc³

et al. 2018

Mat.Plast.

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The influences of hypochlorite DM with oil ingredient and without it, which is introduced into the armament not only by the Czech Armed Forces Chemical Corps, but also by the chemical services specialists of the Czech Republic Fire Rescue Service, on a substrate consisting of a barrier material based on isobutylene-isoprene rubber (butyl rubber) were presented in this paper. Based on the repeated exposure of the substrate formed by the barrier layer material selected by this decontamination mixture and its subsequent rinsing, a change of the breakthrough time has been studied using the MIKROTEST method employing the chemical warfare agent of sulfur mustard and Congo red as a detecting agent.

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Textile fabric defect detection based on low-rank representation

Cited by 43 publications

References 56 publications

Double Low-Rank and Sparse Decomposition for Surface Defect Segmentation of Steel Sheet

Double Low-Rank and Sparse Decomposition for Surface Defect Segmentation of Steel Sheet

Employment of Simulants for Testing Constructive Materials Designed for Body Surface Isolative Protection in Relation to Chemical Warfare Agents

The Most Significant Influences of Decontamination Mixtures Containing Chlorinating and Oxidizing Agents on Barrier Materials Formed by Isobutylene-Isoprene Rubber

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