【摘要】 为了解决常规区域标记算法难以消除凸形目标的内孔与凹陷对目标识别的影响,提出一种适用于凸形目标的快速区域修正与标记算法。通过扫描线端点搜索算法消除图像分割后产生的内孔,利用凸形目标的相关理论解决目标区域的凹陷,使修正后的区域更加接近于实际目标区域,能够获取包括轮廓在内的特征,实时性好,提高了目标识别的精度。将其应用到机器人足球竞赛中,取得了良好的效果。更多还原

【Abstract】 Concerning the recognition influence of the inner hole and concave,which is hard to eliminate by the average component labeling algorithms,a new component labeling and amending algorithm was presented for convex objects.The presented algorithm used the scan line port search algorithm to solve the inner hole,used the theory of convex to object to eliminating the concave.This algorithm makes the fixed object component more like the original component,and it can extract the characteristics including contour with good real-time performance,and improves the precision of object recognition.The presented algorithm has been applied in robot soccer competition and works successfully.更多还原