会议专题

Circular Object Recognition Based on Invariant Features

A circular object recognition method utilizing a group of geometric feature parameters is presented.First,Canny operator is used to extract edges and the edge points are traced to form series of sequential sets.All points in each set are fitted to a polygon.Then,the fitted polygon is normalized to obtain invariant features and their corresponding parameters are calculated.In the end,those targets with the feature parameters satisfying certain conditions are recognized as circular objects.Experiments on synthetic images and real images and comparison with RHT method show that the proposed method has the merits of fast recognition rate and high recognition efficiency.

Object Recognition Circle Detection Invariant Feature Polygon Fitting Edge Detection

Aijun Chen

College of Mechanical and Electrical Engineering,Northeast Forestry University,Harbin,Heilongjiang 150040,China

国际会议

2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

大连

英文

233-238

2008-07-27(万方平台首次上网日期,不代表论文的发表时间)