摘要
本文给出了一个适用于任意形状的二维目标质心快速动态搜索算法、利用距离加权模板与二值图像进行相关运算,动态地搜索目标质心。由于给出了相关运算和动态质心走向判断的新方法,从而大大加快了质心搜索速度,快速搜索目标质心在自主机器人视觉目标定位、导航、跟踪和识别系统中有重要应用。
In this paper, a fast algorithm for dynamically searching centroids of arbitrary objects in binary image is given. The algorithm is based on correlation operation between binary images and a templet weighted with distance to its center. Since a new method on correlation and movement of dynamic centroids of objects is posed, searching time is greatly decreased. This method will be used in visual systems of autonomous vehicles for location, navigation, tracking and recognition by observing objects.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1994年第2期143-149,共7页
Pattern Recognition and Artificial Intelligence
关键词
目标识别
二值图像
搜索算法
Computer Vision, Robot Vision., Object Recognition, Object Tracking, Centroid Searching.
