计算机技术与发展2016，Vol.26Issue(6)：78-81,4.DOI:10.3969/j.issn.1673-629X.2016.06.017
基于改进Otsu算法在前方目标车辆识别中的研究
Research on Front Target Vehicle Identification Based on Improved Otsu Algorithm
摘要
Abstract
In the anti-collision warning system,the common image segmentation algorithm in identifying vehicle often causes the phe-nomenon that loss of information about the target feature and edge blurring. Therefore,it puts forward an improved image segmentation algorithm based on the Otsu algorithm and GA in this paper. This algorithm first confirms a threshold range of the front lane area by the normal distribution function,then crossovers and mutates the initial population of GA to search the optimal segmentation threshold. On this basis,combined with the adaptivity of Otsu,it searches the local optimum in the range of a set threshold. Finally,the optimal thresh-old of image segmentation is obtained. The results show that the improved algorithm has a good recognition performance in the light of the dim light and the damage of the camera. It not only can effectively segment the target vehicle and the background,but also greatly shorten the running time and improve the efficiency of the segmentation. Through simulation,the improved algorithm has obvious advan-tages in identifying the target vehicle in front.关键词
防碰撞预警系统/车辆识别/最大类间方差法/遗传算法/图像分割Key words
anti-collision warning system/vehicle identification/Otsu/GA/image segmentation分类
信息技术与安全科学引用本文复制引用
洪浩,霍春宝,王京,王燕..基于改进Otsu算法在前方目标车辆识别中的研究[J].计算机技术与发展,2016,26(6):78-81,4.基金项目
辽宁省科技计划联合基金项目(2015020047) （2015020047）
北京市青年教师拔尖人才项目(TXM2015-014223-000007) （TXM2015-014223-000007）
