基于Zernike矩亚像素边缘检测的改进算法

通过分析Zernike矩以及基于Zernike矩的亚像素图像边缘检测原理,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,提出一种改进算法。推导了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较高的边缘定位。最后,设计两组实验,实验结果将各尺寸模板结果及与Ghosal算法进行比较,证明了改进算法的优越性。

Improved algorithm for sub-pixel edge detection based on zernike moments

The principle of Zernike moments and the method of sub-pixel edge detection based on Zernike moments were introduced.With the consideration of the limitation of the sub-pixel edge detection algorithm by Ghosal,an improved algorithm was proposed.On the one hand,a mask of size nine multiply nine was calculated and could be applied for the edge detection.On the other hand,a new criterion for edge detection was put forward.Additionally,a series of experiments were designed and implemented.The experiment results show that accuracy of the improved algorithm is higher.