Improved Algorithm for Sub-pixel Edge Detection Based on Zernike Moments

摘要：

The principle of Zernike moments and the method of sub-pixel edge detection based on Zernike moments were introduced in this paper.With the consideration of the limitation of the sub-pixel 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 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 than that obtained from using other size templates and Ghosal algorithm.

关键词： Zernike moments Sub-pixel Edge detection Improved Algorithm

作者: Baoyong Zhao Yingjian Qi

作者单位: School of Information Engineering,Key Laboratory of Advanced Control of Iron and Steel Process (Mini Science School,Communication University of China,Beijing,100024,China

会议类型: 国际会议

会议名称: 2011 2nd International Conference on Material and Manufacturing Technology(2011第二届材料与制造技术国际会议 ICMMT2011)

会议地点: 厦门

会议语种:英文

页码: 763-767

在线出版日期: 2011-07-08（万方平台首次上网日期，不代表论文的发表时间）