摘要
简单介绍了信号灯特征及识别特点。描述了基于CCD、CMOS彩色图像的信号灯提取原理以及目标识别流程,建立了在HSV色彩空间内目标识别模型,分析了该流程所用的图像处理算法和目标识别算法,并在此基础上通过对信号灯本身的先验知识和图像处理效果对比,完成各种信号灯的识别过程,实现了车辆自动监视功能。经验证识别率可以达到100%。
This article simply introduces the features of the signal lamp and its recognition. It describes the principle of extraction of signal flare, base on CCD and CMOS colorful images, and the procedure of object recognition. It builds the model of object recognition in HSV color space and analyzes the algorithm of image processing and object recognition of this procedure. It provides an accurate recognition method for the signal lamp. It is tested that the recognition rate is 100%.
出处
《微处理机》
2013年第6期58-59,62,共3页
Microprocessors
关键词
图像处理
彩色图像分割
目标识别
HSV模型
Image Processing
Color Image Segmentation
Object Reconition
HSV Model
