Average Color Vector Algorithm in Color Recognition Based on a RGB Space

摘要：

　　In this paper,a novel average color vector algorithm is proposed,which can efficiently resist noise and rapidly segment the different monochromatic targets in a color image.In a feature space,a feature value represents the color vector characteristics of a coordinates point.Calculating color average value and standard deviation and Euclidean distance between a pixel and averages of color vector of trained district,it is possible to judge targets color similarity and recognize rapidly the targets.The tomato simulation experiment founds that it is difficult to recognize two objects of approximate colors.The validity of this method is tested via the simulation experiment by applying average color vector algorithm to the tomato color selecting combining Canny edge detection.

关键词： color recognition image segment average Color vector canny edge detection

作者: Yongmei Cai LinLin Zhang

作者单位: College of Computer Science and Engineering Xinjiang University of Finance and Economics Urumqi, Xin School of Information Science and Engineering Xinjiang University Urumqi, Xinjiang, China

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 1106-1110

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）