摘要
提取车轮轮廓在机动车车型识别课题中有重要作用,通过检测侧面图像车辆的车轮数便可确定被测车辆的轴数,为车型的识别提供重要的底盘信息。本文提出了一种鲁棒性较强的车轮轮廓提取方法,通过摄像机拍摄道路行驶车辆的侧面视频,利用改进后的Codebook算法提取出目标车辆后,经圆形度初步筛选近似为圆形的目标,再通过Hough变换圆检测来验证圆,最后完成车轮轮廓的提取。
In this paper , a detection method of contours of wheels for high real - time is proposed. Since the classic eodebook algo- rithm is difficult to deal with the situation such as global sudden light changes, a improved codebook algorithm is presented. First of all, the moving vehicle is extracted in the video recording the side of vehicle by the improved codebook algorithm. And then the contours of the object are extracted in the binarization image processed by the optimal threshold algorithm. Then all the circularity of the contours are calculated by the circularity formula to locate the circular contours. At last the circular contours located by calculating the circulari- ty are verified by Hough transform circle detection method. Experimental results show that this method can locate the wheels of vehicle with high real -time and strong robustness.
出处
《内蒙古农业大学学报（自然科学版）》
CAS
北大核心
2014年第1期103-107,共5页
Journal of Inner Mongolia Agricultural University(Natural Science Edition)
关键词
CODEBOOK
圆形度
圆检测
轮廓提取
Codebook model
circularity
circle detection
detection of contours of wheels
