机动车牌照的边缘检测算法研究  

作　　者：张汉欣[1] 

机构地区：[1]中国刑事警察学院

出　　处：《道路交通科学技术》2020年第4期13-15,共3页Road Traffic Science & Technology

摘　　要：本文以快速准确识别定位机动车牌照为目的,针对机动车牌照痕迹图像,主要应用索伯尔算子、高斯拉普拉斯算子、Roberts算子算法对机动车牌照痕迹边缘检测识别。通过与传统多种优化算子的图像处理算法进行比较,实验结果表明,应用彩色Prewitt边缘检测算子ColorPrewitt算法处理的图像,汽车牌照区域完整、与背景易于分割,能满足后续工作提取牌照区域的要求。In this paper,in order to quickly and accurately identify and position the license plate of motor vehicles,Sobel operator,Gaussian Laplace operator and Roberts operator algorithm were mainly used to detect and recognize the edge of vehicle license plate trace.Through comparison with traditional image processing algorithms of multiple optimization operators,the experimental results showed that when the image was processed by the Color Prewitt edge detection operator Color Prewitt algorithm,the license plate area would be complete and easy to segment from the background,which meet the requirements of extracting the license plate area in the sebsequent work.

关 键 词：机动车牌照 识别 边缘检测 优化算子 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]