A Method of Quasi-circular Objects Detection
In pattern recognition and computer vision, quasicircular detection and parameters determination are important tasks. In view of the special characteristics of quasi-circular objects, firstly, the color image is processed with the following pretreatment methods: image gray ness, image smoothness, image binaryzation and so on, and the high quality binary image can be obtained; then the distance image of the binary image is achieved by using distance transform based on boundary-stripped algorithm; in the distance image, the quasi-circular objects are detected by searching and flattening the maximum pixel areas one by one; so far, the end results are completed. Simulation results show that this algorithm has good effects, and it can detect and calculate the quasi-circular objects precisely and rapidly.
quasi-circular boundary-stripped distance transform maximum pixel areas
Ping Wang Zhiwei Li Ruihua Xia Wei Luo
Department of Electronic Information Engineering Nanchang University Nanchang, China JiangXi Branch of China Eastern Airlines Nanchang, China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
1497-1500
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）