基于Zernike正交矩的图像亚像素边缘检测算法改进

介绍了Zernike矩及基于Zernike矩的图像亚像素边缘检测原理, 针对Ghosal提出的基于Zernike矩的亚像素图像边缘检测算法检测出的图像存在边缘较粗及边缘亚像素定位精度低等不足, 提出了一种改进算法. 推导了7×7 Zernike矩模板系数, 提出一种新的边缘判断依据. 改进的算法能较好检测图像边缘并实现了较高的边缘定位. 最后, 设计了3组不同的实验. 实验结果同Canny算子及Ghosal算法相比, 证明了改进算法的优越性.

Improved Algorithm about Subpixel Edge Detection of Image Based on Zernike Orthogonal Moments

The principle of Zernike moments and the method of sub-pixel edge detection based on Zernike moments were in- troduced in this paper.With the consideration of the limita- tion of the subpixel edge detection algorithm by Ghosal,such as the lower location precision of the edge and the extracted wider edge than that of the original image,an improved algo- rithm was proposed.On the one hand,a mask of size seven by seven was calculated and could be applied to edge detection.On the other hand,a new criterion for edge detection was put for- ward,Additionally,a series of experiments were designed and implemented.The experiment results showed that the accuracy of the improved algorithm is higher than those obtained from using Canny algorithm and Ghosal algorithm.