Circular Searching Algorithm for Contours Extraction Based on Discrimination Analysis
Contours extraction in the ima2e has a wide variety of applications in computer vision.Current algorithms are confronted with the problems that the optimization of energy function will trap in local minimums and the contour evolutions greatly depend on the initiaI contour selection.A searching algorithm for object contours using a series circles with adaptively changing centers and radiuses is proposed in this paper.So,as few pixels as possible are used to finish the searching.On the other hand,Discrimination Analysis is used to judge the object boundary points in order to avoid deciding the gradients threshold.Simulation results show that the proposed algorithm performs contours extraction greatly.
Contour extraction circular searching discrimination analysis
Zhi-Heng Zhou De-Lu Zeng
国际会议
The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)
成都
英文
211-214
2007-12-19（万方平台首次上网日期，不代表论文的发表时间）