摘要
在图像测量中,图像边缘的精确定位与检测是影响测量精度的关键。为了实现快速、高精度的图像边缘定位与检测,提出了一种改进的Zernike方法,采用四个方向模版Sobel算子对图像初处理,利用被测物的几何信息,只使用零阶矩实现对边缘的亚像素定位。实验结果表明改进算法比原算法具有更高的精度,而运行的时间不到原算法的1/4。该算法具有良好的处理效率,能够满足一般具有几何特征图像边缘实时、亚像素精度定位与检测的要求,具有广阔的应用前景。
For image measurement, the precise positioning and rapid detection of the image edge are critical factors. In order to realize the rapid and high precision edge positioning and detection, a novel method is proposed based on an improved Zernike method. According to the geometric information of the target, the primary processing of the image is operated based on four-direction-template Sobel operators, then sub-pixel edge positioning can be obtained using only one of moment-templates. Experimental results demonstrate that the proposed method has higher precision, and less running time a quarter than that based on the original method. The novel method has a good processing efficiency, which can be used to position and detect the image edge with the geometric characteristics, with sub-pixel positioning precision and real-time detection advantages, and has a broad application prospect.
出处
《计算机工程与应用》
CSCD
北大核心
2015年第20期157-161,共5页
Computer Engineering and Applications
基金
国家自然科学基金(No.61108047
No.61240057)
北京市优秀人才培养资助项目(No.2011D005007000008)
北京市工程技术研究中心开放课题
