首页> 外文会议>Information Science and Engineering (ICISE), 2009 >Image Segmentation Algorithm for Cord Fabric Defects Inspection Based on Machine Vision
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Image Segmentation Algorithm for Cord Fabric Defects Inspection Based on Machine Vision

机译:基于机器视觉的帘子布缺陷检测图像分割算法

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In an online defects inspection system for cord fabric based on machine vision, Image segmentation for cord fabric defects has been the hot and difficult problem. An adaptive segmentation algorithm using threshold surface is presented in this paper. And this method which is a fast adaptive threshold surface constructing method based on column statistic is proposed. This method inspects defects through detecting the change of image gray levels caused by the difference in optic character between cord fabric and defects. And it is set up around the analysis of for cord image and the requirements of online inspection system such as reliability, real-time, and veracity. The experiment results indicate that the proposed method has low computation cost, fast speed and good segmentation performance. It is in accord with the requirements of online inspection system.
机译:在基于机器视觉的帘线织物在线缺陷检查系统中,帘线织物缺陷的图像分割一直是热门和困难的问题。提出了一种基于阈值曲面的自适应分割算法。提出了一种基于列统计量的快速自适应阈值曲面构造方法。该方法通过检测由帘线织物和缺陷之间的光学特性差异引起的图像灰度级变化来检查缺陷。它是围绕对脐带图像的分析以及在线检查系统的要求(如可靠性,实时性和准确性)而设置的。实验结果表明,该方法计算成本低,速度快,分割效果好。符合在线检查系统的要求。

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