1、 I 摘摘 要要 交通图象检测与处理方法研究对于交通安全、交通管理与控制具有非常重 要的理论意义和实用价值。 通过视频图象的检测与识别,可以实时检测交通违章现象、 识别违章车辆的 车牌号码，为公安交通管理部门提供强有力的执法证据。因此，研究交通图象 检测与处理方法对智能交通运输系统的发展具有重要的推动作用。本系统着力 对车牌的识别过程进行研究和实现。主要能够对带有车牌的图片灰度化，二值 化，中值滤波等处理，并能够截取车牌图片。车牌定位是指将车牌区域从车辆 图像中分割出来，是实现整个系统的关键环节。而车牌定位主要包含两个关键 技术问题：图像的预处理和车牌定位的算法。本论文主要应用 VC 语言编程
2、，对 其车牌图像进行预处理，有效的解决一些导致识别、定位错误的问题。 关键词关键词：车牌定位,二值化,预处理 II Abstract Traffic image processing method for testing and research, traffic safety management and control has important theoretical significance and practical value. Through video images of detection and recognition can real-time detection and
3、 identification of violate the traffic violations phenomenon plate number for public security traffic management department, provide strong evidence of law enforcement. The focus on the license plate identification system research and implementation process. Mainly with the license plate on the pict
4、ure to gray level transformation, binarization, median filtering and other processing, and can intercept license plate image. License plate location is license plate recognition technology a vital part . License plate location refers to the license plate out from the vehicle image segmentation is the key to the entire system. The license plate location primarily consists of two key technologies: image preprocessing and license plate location algorithm. Main applic
