计算机应用 ›› 2010, Vol. 30 ›› Issue (07): 1841-1843.
• 图形图像处理 • 上一篇 下一篇
师雪超1,孙振忠2,卢盛林2,杨玉梅3
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摘要: 为快速准确地对弧形零件特征参数进行检测,提出了一种基于机器视觉技术检测弧形件的各种特征参数的方法。该方法先采用Canny算子检测图像边缘,然后用三次样条插值方法对图像边缘进行插值并计算其亚像素坐标,最后采用基于切线方向的方法计算曲率值。对离散曲率数据进行处理,计算其均值和方差以及弧形件的弧长、夹角、面积等特征量。实验结果证明:该算法不仅精度高、速度快,而且稳定性好,能满足弧形零件特征参数的检测要求。
关键词: 机器视觉, 图像检测, 弧形件, 亚像素坐标, 离散曲率
Abstract: In order to achieve fast and accurate inspection on the feature parameters of the arcshaped piece, the paper presented a method that inspected feature parameters of the arc-shaped piece based on machine vision. First, the image edge was extracted by Canny operator and subpixel coordinate was computed by a cubic spline interpolation algorithm. Then, discrete curvature was computed by discrete curvature computing method based on tangent direction. The discrete curvature data were arranged; the mean and variance, as well as the arc-length, surface and angle of curved pieces were calculated. The experimental results indicate that the proposed method is of not only highprecision, high-speed but also good-stability, and can satisfy inspection requirement of arc-parts feature parameters.
Key words: machine vision, Image inspection, Arc-Parts, Sub-pixel coordinate, Discrete curvature
师雪超 孙振忠 卢盛林 杨玉梅. 基于机器视觉的弧形件检测算法[J]. 计算机应用, 2010, 30(07): 1841-1843.
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http://www.joca.cn/CN/Y2010/V30/I07/1841