基于图像处理的冷轧薄板板形识别

为了解决冷轧薄板板形识别问题，采用基于图像处理的方法，对图像进行直方图均衡化，使处理后的图像对比度、图像边界的清晰度有了很大的提高，并在此基础上再进行形态学增强，改善图像效果.对于处理后的图像利用canny算子提取其边缘，利用图像的均值、方差和对比度的统计特征作为BP神经网络分类器的输入进行缺陷特征分类.根据上述方法进行了板形识别系统的硬件、软件设计，实际应用表明，该方法可以有效地识别出常见的板形缺陷.

Cold-rolled strip plate-profile recognition based on image processing method

A cold-rolled strip plate-profile recognition method was presented to improve the detection accuracy based on image processing.The contrast of original flatness strip image and the edge definition were increased through gray-level histogram equalization.The image morphology filtering method was used to improve the image quality,and the edge detection was processed using canny operator.The back propagation(BP) neural network with three input parameters: mean,variances and contrast of image were proposed to classify the plate-profile defection.Application in an iron sted plant showed the effectiveness of the proposed method,and the hardware and software system in this application were also presented.