摘要
提出了基于改进SSDA算法的机器人视觉彩色目标识别方法,利用颜色分量的权重系数对SSDA算法进行了改进,同时,在图像特征提取时引入目标的形状和大小信息。实验表明,这些措施有效地减少了运算量,提高了目标识别的准确性,具有较好的实时性和鲁棒性。
A method based on improved SSDA（Sequence Similarity Detection Algorithm） is proposed,it is applied in recognizing the colored target of robotic visual.SSDA is improved based on color weight coefficient.Furthermore,the information of shape and size is introduced while extracting image characteristics.The experiment results show that the algorithm reduces the amount of calculation and increases the accuracy of recognizing target.Therefore,the algorithm has well real-time performance and robustness.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第28期73-74,102,共3页
Computer Engineering and Applications
基金
河南省教育厅自然科学基金项目(No.200610464031)
河南科技大学校基金项目(No.2004ZY015)。
关键词
图像匹配
序贯相似性检测算法
累计误差
权重系数
image matching
Sequence Similarity Detection Algorithm（SSDA）
accumulative errors
weight coefficient
