基于气门油封的亚像素边缘检测

针对气门油封的尺寸检测问题, 本文提出了一种基于Zernike矩改进算法的亚像素边缘检测方法. 首先, 对比分析了高斯滤波和双边滤波的预处理效果, 结果表明双边滤波在滤波和保留边缘信息方面具有更好的表现. 然后, 采用Canny算子进行边缘粗定位, 并利用自适应的Zernike矩过度模型进行亚像素级定位. 最后, 采用最小二乘拟合圆法获取圆心坐标和半径. 经试验证明, 优化后算法的边缘定位平均误差更小, 精度更加准确.

Subpixel Edge Detection Based on Valve Steam Seal

A subpixel edge detection algorithm based on Zernike moment is proposed to detect the size of the valve steam seal. Firstly, the preprocessing effect of the Gaussian filter and bilateral filter is compared and analyzed. The results show that bilateral filter perform better in filtering and edge information retaining. Then, the Canny operator is employed for rough edge localization, and the adaptive Zernike moment transition model is adopted for subpixel level localization. Finally, the coordinates and radius of the center of the circle are obtained by the least squares fitting circle method. Experiments prove that the optimized algorithm has a smaller average error in edge positioning with more accurate accuracy.