基于对称性算法的遮挡车辆图像检测分析  

Image Detection and Analysis of Occluded Vehicles Based on Symmetry Algorithm

作　　者：张侃侃 Zhang Kankan(Power China ZhongNan Engineering Corporation Limited,Changsha Hunan,410014)

机构地区：[1]中国电建集团中南勘测设计研究院有限公司,湖南长沙410014

出　　处：《电子测试》2022年第23期57-59,共3页Electronic Test

摘　　要：本文基于对称性算法,针对智能交通领域中存在遮挡的目标物车辆,提出了通过车辆对称区域和对称轴的互校验准确定位目标的位置的图像检测分析法。经测试验证,该检测方法能够有效抵抗各种阴影的影响,并且在待检测目标出现轻微遮挡时,依然能够准确定位出目标位置。Based on the symmetry algorithm, this paper proposes an image detection analysis method to accurately locate the target position by the mutual check of symmetry axis and symmetry axis of vehicles in the field of intelligent transportation.The test results show that this detection method can effectively resist the influence of various shadows, and can still accurately locate the target position when the target to be detected is slightly obscured.

关 键 词：人造物 对称性 边缘特征 阴影 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]