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Fabric Defect Detection Based on Pattern Template Correction

机译：基于花样模板校正的织物疵点检测

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摘要

This paper proposes a novel template-based correction (TC) method for the defect detection on images with periodic structures. In this method, a fabric image is segmented into lattices according to variation regularity, and correction is applied to reduce the effect of misalignment among lattices. Also, defect-free lattices are chosen for establishing an average template as a uniform reference. Furthermore, the defect detection procedure is composed of two steps, namely, defective lattices locating and defect shape outlining. Defective lattices locating is based on classification for defect-free and defective patterns, which involves an improved E-V method with template-based correction and centralized processing, while defect shape outlining provides pixel-level results by threshold segmentation. In this paper we also present some experiments on fabric defect detection. Experimental results show that the proposed method is effective.
机译：本文提出了一种新颖的基于模板的校正（TC）方法，用于对具有周期性结构的图像进行缺陷检测。在该方法中，根据变化规律将织物图像分割成格子，并进行校正以减少格子之间未对准的影响。同样，选择无缺陷的晶格以建立平均模板作为统一参考。此外，缺陷检测过程包括两个步骤，即缺陷晶格定位和缺陷形状勾画。缺陷晶格定位基于无缺陷和缺陷图案的分类，这涉及一种改进的E-V方法，该方法具有基于模板的校正和集中处理功能，而缺陷形状轮廓则通过阈值分割提供了像素级结果。在本文中，我们还提出了一些织物缺陷检测的实验。实验结果表明，该方法是有效的。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第3期|3709821.1-3709821.17|共17页
  • 作者

    Chang Xingzhi; Gu Chengxi; Liang Jiuzhen; Xu Xin;

  • 作者单位

    Changzhou Coll Informat Technol, Open Lab Ind Cloud Intelligent Mfg, Changzhou, Peoples R China;

    Changzhou Univ, Sch Informat Sci & Engn, Changzhou, Peoples R China;

    Changzhou Univ, Sch Informat Sci & Engn, Changzhou, Peoples R China;

    Changzhou Univ, Sch Informat Sci & Engn, Changzhou, Peoples R China;

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