基于数字图像处理技术的故障检测

J. Patel, M. Jain, P. Dutta
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引用次数: 6

摘要

提出了一种基于数字图像处理的织物疵点自动检测方法。在纺织工业中,织物自动检测是保证织物质量的重要手段。织物疵点检测长期采用人工目视检测方式。本文提出了一种纺织品疵点识别方法,以最大限度地降低生产成本和生产时间。织物分析是在织物数字图像的基础上进行的。该识别器通过图像采集装置获取数字织物图像,并通过恢复和阈值技术将图像转换为二值图像。本文介绍了一种减少手工作业的方法。本图像处理技术是使用MATLAB 7.10完成的。本研究利用系统视觉方法在图像处理中实现纺织品缺陷检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of Faults Using Digital Image Processing Technique
This paper presents an approach to automatic detection of fabric defects using digital image processing. In Textile industry automatic fabric inspection is important to maintain the quality of fabric. Fabric defect detection is carried out manually with human visual inspection for a long time. This paper proposes an approach to recognize fabric defects in textile industry for minimizing production cost and time. Fabric analysis is performed on the basis of digital images of the fabric. The recognizer acquires digital fabric images by image acquisition device and converts that image into binary image by restoration and threshold techniques. This paper introduces a method which reduces the manual work. This image processing technique is done using MATLAB 7.10. This research thus implements a textile defect detector with system vision methodology in image processing.
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