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The defects recognition of wheel tread based on linear CCD

机译：基于线性CCD的轮辋缺陷识别

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摘要

In this paper, a defect detecting system of wheel tread based on linear charge coupled device (CCD) is established, and the image recognition technology of wheel tread defects under this system is studied. Firstly, images of the whole wheel tread are captured through the system. Secondly, median filtering and image contrast enhancement are processed on the defect images, and then the canny edge detection based on gradient histogram is performed. Thirdly, the images after edge detection are used for eight-neighbor boundary tracking, in order to obtain the sizes in-pixel of defects. Finally, the linear CCD camera is calibrated by Zhang checkerboard-like calibration method, and the actual sizes of defects are calculated. The results of this experiment show that the detecting system can identify the wheel tread defects effectively, and obtain the defects' actual width and height accurately through image processing algorithm.
机译：本文建立了一种基于线性电荷耦合器件（CCD）的轮胎胎面缺陷检测系统，并研究了该系统下的轮胎胎面缺陷图像识别技术。首先，整个胎面的图像通过系统捕获。其次，对缺陷图像进行中值滤波和图像对比度增强处理，然后进行基于梯度直方图的Canny边缘检测。第三，边缘检测后的图像用于八邻边界跟踪，以获得缺陷的像素内尺寸。最后，采用张棋盘式标定方法对线性CCD相机进行标定，计算出缺陷的实际尺寸。实验结果表明，该检测系统能够有效地识别出轮面缺陷，并通过图像处理算法准确地获得了缺陷的实际宽度和高度。

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