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Research on the combination of improved Sobel operator and ant colony algorithm for defect detection

机译:改进的Sobel算子和蚁群算法与缺陷检测的组合研究

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摘要

There are many aspects in the defect detection system. Any deviation in any link will affect the accuracy of the final detection, and edge detection is very important in the image preprocessing stage. In this paper, a new edge detection algorithm is proposed. Firstly, the improved Sobel operator is used to detect the image contour, and then the position of the contour is taken as the initial position of ant colony algorithm. The experimental results show that the algorithm can extract the contour with uniform thickness and length from the original image collected by the industrial camera, and the running time of the algorithm is almost the same as that of the traditional ant colony algorithm, thus providing more accurate data for the defect detection of products in the later stage.
机译:缺陷检测系统中存在许多方面。 任何链路中的任何偏差都会影响最终检测的准确性,边缘检测在图像预处理阶段非常重要。 在本文中,提出了一种新的边缘检测算法。 首先,改进的Sobel操作者用于检测图像轮廓,然后将轮廓的位置作为蚁群算法的初始位置。 实验结果表明,该算法可以从工业摄像机收集的原始图像中提取具有均匀厚度和长度的轮廓,并且算法的运行时间与传统蚁群算法的运行时间几乎相同,从而提供更准确的 稍后阶段缺陷检测产品的数据。

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