Suitability analysis of techniques for flaw detection in textiles using texture analysis

被引：30

作者：

Bodnarova A. ^{[1
,2
]}

Bennamoun M. ^{[1
]}

Kubik K.K. ^{[1
]}

机构：

[1] Space Ctr. for Satellite Navigation, Queensland University of Technology, Brisbane, QLD

[2] Space Ctr. for Satellite Navigation, Queensland University of Technology, Brisbane, QLD 4001

来源：

Pattern Analysis & Applications | 2000年 / 3卷 / 3期

关键词：

Case study; Flaw detection techniques; Textile quality control; Texture analysis; Visual inspection; Weaving flaws;

D O I：

10.1007/s100440070010

中图分类号：

学科分类号：

摘要：

This paper addresses issues concerning image analysis algorithms for the visual quality inspection of textile fabrics. An overview of a number of flaw detection techniques and analysis of their suitability for detecting the presence of weaving defects is presented. The flaw detection algorithms are based on a local analysis of spatial and spatial-frequency domain features, exploring both the statistical and structural texture analysis of the defective image samples. The algorithms are compared using two criteria: accuracy and computational efficiency. Four methods are applied to the flaw detection problem, and their accuracy is assessed experimentally on a number of common textile defects in this preliminary comparison. The methods are: spatial grey level co-occurrence; normalised cross-correlation; texture blob detection; and spectral approaches. Of these methods, the correlation approach appears to be the most promising candidate for a real-time, high accuracy flaw detection algorithm.

引用

页码：254 / 266

页数：12

共 22 条

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