Fabric Defect Detection Based on Pattern Template Correction. (22nd March 2018)

• Record Type: Journal Article
• Authors: Chang, Xingzhi; Gu, Chengxi; Liang, Jiuzhen; Xu, Xin
• Other Names: Giorgio Ivan Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2018(2018)
• Publication Date: 2018-03-22
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2018/3709821
• Languages: English
• ISSNs: 1024-123X

Abstract

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.