基于Zernike矩亚像素边缘检测的快速算法OA北大核心CSCDCSTPCD
Fast algorithm of subpixel edge detection based on Zernike moments
为了克服传统的Zernike法在边缘检测过程中,由于人工手动选取阈值而带来的低效率、高误判等不足,将原算法与Otsu法相结合,提出了一种边缘检测的快速算法.利用传统的Zernike法计算出图像的阶跃灰度矩阵,再将该矩阵作为计算对象,用Otsu法直接得到最优的阶跃灰度阈值进行边缘判别,并考虑了由于边缘模型带来的误差,在保证检测效果的同时缩短了检测时间.实验结果表明,改进的算法能够更有效地完成边缘检测,补偿后的亚像素定位更准确.
The traditional Zemilce orthogonal moment operators can detect the edge with subpixel-level, but the algorithm still requires manual tuning on selecting threshold, not only inefficient, but also leads to the wrong detection of the edge. In order to overcome this weakness, this article combined original algorithm with Otsu adaptive threshold algorithm and proposed a new fast algorithm for edge detection. Firstly,it calculated the step grayscale matrix of the …查看全部>>
杨浩;裴蕾;李昌顺
重庆大学电气工程学院,重庆400044重庆大学电气工程学院,重庆400044重庆大学电气工程学院,重庆400044
信息技术与安全科学
Zernike矩Otsu自适应阈值法亚像素边缘检测误差补偿
Zernike moment Otsu adaptive threshold method subpixel edge detection error compensation
《计算机应用研究》 2011 (11)
4380-4382,4385,4
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