基于图像处理的织物缺陷检测

Md. Rakibul Alam Khan, Halima Akhter
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引用次数: 0

摘要

织物疵点是孟加拉国纺织业质量控制中最重要和最严重的问题之一。这项任务需要花费大量的时间和金钱。为此,我们介绍了一种基于边缘检测的织物缺陷检测方法。该过程主要集中在图像处理上,图像处理可与织物疵点检测自动化系统集成。本文尝试了一种基于边缘检测的滤波方法,取得了良好的效果。该算法能够成功地检测出织物疵点。它还可以用于考虑光强,变焦,织物宽度,相机分辨率等的实时缺陷检测。由于我们的算法主要是基于边缘检测的原理,无法检测出多色或图案织物上的缺陷。它在单色织物上效果很好,没有任何褶皱或边缘。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fabric Defect Detection using Image Processing
Fabric defect is one of the most important and serious matters of quality control in textile industry in Bangladesh. This task takes a lot of time and money. For this reason we have introduced a simple process to find defects on fabric based on edge detection. This process is mainly focused on image processing which can be integrated with fabric defect detection automation system. In this paper we have tried a new approach using the filter method with edge detection and found good results. Our algorithm can detect defected fabric area successfully. It can be also used in real-time defect detection considering light intensity, zoom, fabric width, camera resolution etc. As our algorithm mainly works on the principle of edge detection, it cannot detect defect on multicoloured or patterned fabric. It works well on single coloured fabric without any fold or edge.
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