提出了一种基于区域标注的方法来实现静态图像中的车牌提取.车牌提取的主要步骤由以下几步构成:原始图像灰度化、数学形态学处理(前景图像处理)、图像二值化(阈值法)、图像滤波处理、特征区域标注,车牌特征提取、采用matlab进行实验仿真.在实验中,通过对各种场景下采集到1 000幅图像做测试,车牌定位率为98%.实验结果表明基于区域标注的车牌提取算法运算快,对背景较为复杂的图像中车牌的提取有良好的效果.%The method of licence plate extraction in static image is introduced based on region labeled.The process of licence plate extraction mainly include:gray of orginal image,mathematical morphology processing( foreground image processing) ,image binarization( threshold approach), image filtering, binarization,feature region labeled, Licen extraction.MATLAB is used to achieve this simulation of processing.After 1 000 images from the real sence is tested, the accuracy of locating the licence plates is 98％.The result of experiment illustrates that this algorithm based on region labeled have a high speed, and the extraction is accurate for the image of which background is complicate.
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