计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (17): 169-171.

• 图形、图像、模式识别 • 上一篇    下一篇

视觉测量中椭圆自动检测与定位方法

韩建栋1,杨红菊1,吕乃光2   

  1. 1.山西大学 计算机与信息技术学院,计算智能与中文信息处理教育部重点实验室,太原 030006
    2.北京信息科技大学 光电信息与通信工程学院,北京 100192
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-06-11 发布日期:2011-06-11

Automated ellipse detection and location method in 3D visual inspection

HAN Jiandong1,YANG Hongju1,LV Naiguang2   

  1. 1.Key Lab of Ministry of Education for Computational Intelligence and Chinese Information Processing,School of Computer and Information Technology,Shanxi University,Taiyuan 030006,China
    2.School of Optoelectronic Information and Telecommunication Engineering,Beijing University of Information Science and Technology,Beijing 100192,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-06-11 Published:2011-06-11

摘要: 针对视觉测量中椭圆目标的检测效率与定位精度较低的问题,提出一种高效的椭圆识别与定位方法。该方法利用回光反射控制点的强反射特性,提取目标的边缘信息,对连续的边缘进行分组,利用椭圆长轴信息对每组边缘数据进行椭圆识别,采用基于变量含误差模型的椭圆拟合方法,实现椭圆目标中心的精确定位。实验证明,该方法具有快速、自动化、定位精度高、鲁棒性好等优点,在视觉测量中具有广泛的应用前景。

关键词: 视觉测量, 椭圆识别, 边缘提取, 椭圆拟合

Abstract: In order to solve the problems in 3D vision measurement such as low inspection efficiency and low location precision and so on,an efficient method of ellipse detection and location is proposed.Using high-reflective characteristic of the retro-reflective targets,the Canny detector is applied to the gray level image in order to obtain a binary edge-map.Edge contours points are extracted from the edge-map and divided into several groups according to the continuity.Ellipse objects can be recognized by using major axis information of an ellipse.An ellipse fitting method based on the Heteroscedastic Errors-In-Variable(HEIV) model is applied to realize the precision locating of the ellipse objects.Experimental results show that the method has such advantages as fast speed,automation,high precision and good robustness and can be extensively applied to the vision measurement.

Key words: vision measurement, ellipse detection, edge extraction, ellipse fitting