摘要
为了实现高速运动目标的快速探测与识别,提出了一种基于相关直线的方法.将Gabor函数用于直线检测,并提出对Gabor函数作去除旁瓣的改进,使检测出的直线没有影线干扰.用直线检测的结果图作相关直线检测,去除孤立直线,进一步减小干扰.最后对相关直线的标记作投影,根据投影峰值给出探测结果.将此方法用于处理高速铁路扣件图像,实现了每幅图像优于2.5 ms的处理速度,实验条件下判断的正确率超过93%,满足高速铁路扣件检测需求.
A method based on correlative line is presented in order to achieve high-speed moving object detection and recognition.Gabor function is used by removing the sidelobes to avoid the shadow line influence for detect lines,the result map of line detection is used to mark correlative lines in order to remove isolated lines for reducing their interference,and the detection results are obtained according to the peaks of the projection of the mark.This method is used to handle high-speed rail fastener image which is achieved in a processing speed of less than 2.5 ms per image with an accuracy of more than 93% under the laboratory conditions.
出处
《大连交通大学学报》
CAS
2011年第2期79-82,共4页
Journal of Dalian Jiaotong University
基金
国家863计划重大专项资助项目(2009AA110301)
