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分析了运动带钢表面重皮缺陷的特征，对缺陷图像的奇偶场叠加和ＣＣＤ积分延迟造成的运动模糊进行了预处理．提出了一种基于机器视觉心理的高速在线重皮缺陷图像识别算法，最后给出了检测结果和结论
The characteristics of the heavy skin defects on the surface of the strip were analyzed. The motion blur caused by the superposition of the odd and even fields of the defect image and the CCD integral delay was preprocessed. A novel image recognition algorithm based on machine vision psychology for high-speed on-line skins defects was proposed. Finally, the test results and conclusions