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Automatic defect inspection system for steel products with exhaustive dynamic encoding algorithm for searches

机译：具有详尽动态编码算法的钢制产品自动缺陷检测系统

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摘要

A technology to stabilize the process by inspecting fine cracks in advance before mass and fatal defects occur is important. We propose a vision inspection system for the edge cracks of cold-rolled steel strips. It is important to detect the edge cracks of cold-rolled steel sheets early because they can result in plate breakage. There are two major components to achieve a suitable defect inspection system. The first is an optical system design technique that generates an image that can easily distinguish a defect area from a nondefect area. The second is an automatic detection algorithm technique that can accurately detect the position and shape of a defect in an image generated from an optical system. The optical part is designed using a backlight technique, which places the camera on the top of the strip and irradiates light from the bottom to the top. The defect detection algorithm detects the defects based on morphological operations. It is important to design the structuring elements that determine the performance of the detection algorithm. We optimized the structuring elements using the exhaustive dynamic encoding algorithm for searches. Experiments were conducted on the obtained images by installing the proposed system in actual production lines. The experimental results show the effectiveness of the proposed system.
机译：在发生群众和致命缺陷之前，通过检查细裂纹来稳定过程的技术是重要的。我们为冷轧钢带边缘裂缝提出了视觉检测系统。重要的是早期检测冷轧钢板的边缘裂缝，因为它们可以导致纸块破损。有两种主要组件可以实现合适的缺陷检测系统。首先是一种光学系统设计技术，其产生可以容易地区分缺陷区域的图像。其间是一种自动检测算法技术，可以精确地检测从光学系统产生的图像中的缺陷的位置和形状。光学部分使用背光技术设计，将相机放在条带顶部并从底部到顶部照射光。缺陷检测算法基于形态操作检测缺陷。重要的是设计确定检测算法性能的结构化元素。我们使用用于搜索的详尽动态编码算法优化了结构化元件。通过在实际生产线中安装所提出的系统，在所获得的图像上进行实验。实验结果表明了所提出的系统的有效性。

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