A Simple Guidance Template-Based Defect Detection Method for Strip Steel Surfaces
A Simple Guidance Template-Based Defect Detection Method for Strip Steel Surfaces
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DOI：
10.1109/tii.2018.2887145
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发表时间：
2019-05
影响因子：
12.3
通讯作者：
Heying Wang;Jiawei Zhang;Ying Tian;Haiyong Chen;Hexu Sun;Kun Liu
中科院分区：
文献类型：
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作者：
Heying Wang;Jiawei Zhang;Ying Tian;Haiyong Chen;Hexu Sun;Kun Liu
钢带表面缺陷的自动检测是计算机视觉中一个具有挑战性的任务，因为缺陷的模式复杂，假缺陷的干扰，以及背景灰度的随机排列。本文提出了一种新的模板建立方法。在此基础上，提出了一种简单的基于导向模板的带钢表面缺陷检测算法。首先，收集大量的无缺陷图像，获得法向纹理的统计特征；其次，对每个给定的测试图像，根据统计特征和测试图像的大小构建初始模板；然后，对给定的测试图像进行排序操作。进一步，通过更新初始模板，根据排序后的测试图像的特定强度分布生成唯一的引导模板。至此，每个测试图像的背景都在引导模板中进行了近似重构。最后，在逐像素检测的基础上，通过引导模板与排序后的测试图像之间的相减运算、反向排序运算和自适应阈值确定，可以准确定位缺陷。实验结果表明，该方法是有效的。在包含1500张测试图像的数据集上，平均检测率达到96.2%。
Automatic defect detection on strip steel surfaces is a challenging task in computer vision, owing to miscellaneous patterns of defects, disturbance of pseudodefects, and random arrangement of gray-level in background. In this paper, a novel template establishment is presented. Further, a simple guidance template-based algorithm for strip steel surface defect detection is proposed. First, a large number of defect-free images are collected to obtain the statistical characteristic of normal textures. Second, for each given test image, the initial template is built according to the statistical characteristic and the size of test image. Then, a sorting operation is applied to the given test image. Further, by updating the initial template, a unique guidance template is generated based on specific intensity distribution of the sorted test image. So far, the background of each test image is approximately reconstructed in the guidance template. Finally, based on pixel-wise detection, the defects can be located accurately by subtraction operation between the guidance template and sorted test image, reverse sorting operation, and adaptive threshold determination. Experimental results show that the proposed method is both efficient and effective. It achieves a better average detection rate of 96.2% on a data set including 1500 test images.