Fabric Defect Detection Based on Pattern Template Correction

  • Chang X
  • Gu C
  • Liang J
  • et al.
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Abstract

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.

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APA

Chang, X., Gu, C., Liang, J., & Xu, X. (2018). Fabric Defect Detection Based on Pattern Template Correction. Mathematical Problems in Engineering, 2018, 1–17. https://doi.org/10.1155/2018/3709821

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