In order to solve the problems of low efficiency and long running time caused by the traditional Zernike moment method for convolution calculation of the whole image, this paper combines the canny detection algorithm with the Zernike moment method. First, the canny edge detection algorithm, which combined with the Otsu threshold method, is used to extract the pixel edge of the image. Then an improved Hough transform method is used to fit the geometric edge in the image. Based on this, the Zernike moment method is applied to realize sub-pixel positioning of images. The algorithm improves the deficiencies of direct sub-pixel detection, improving accuracy and reducing running time. To verify the effectiveness of the proposed algorithm, the algorithm is applied to the dimension measurement experiment of T-type guide way. The results clearly show that the algorithm is superior to the traditional algorithm in accuracy.

中文翻译：

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基于Canny-Zernike矩法的亚像素边缘检测算法

为了解决传统Zernike矩法对整幅图像进行卷积计算所带来的效率低、运行时间长的问题，本文将canny检测算法与Zernike矩法相结合。首先，采用canny边缘检测算法，结合Otsu阈值法，提取图像的像素边缘。然后使用改进的霍夫变换方法来拟合图像中的几何边缘。在此基础上，应用Zernike矩法实现图像的亚像素定位。该算法改进了直接亚像素检测的不足，提高了精度，减少了运行时间。为验证所提算法的有效性，将该算法应用于T型导轨尺寸测量实验。