基于远红外技术的车载辅助驾驶系统的优化  

Optimization of vehicle assisted driving system based on far infrared technology

作　　者：史骏[1] 

机构地区：[1]西安铁路职业技术学院,西安710026

出　　处：《信息技术》2017年第12期70-72,75,共4页Information Technology

基　　金：国家自然科学基金资助项目(10871122)

摘　　要：随着人们生活水平的提高,车辆的增多导致交通事故的频发。远红外摄像头的辅助驾驶系统的研究对预防和减少交通事故的发生起到显著的效果。文中以远红外摄像头作为视频采集的设备,基于Fisher评价函数的多阈值红外图像分割算法以及色彩知识的远红外图像上色算法,从算法计算中得到的阈值而对红外视频进行景物区分,通过先验知识对不同景物添加彩色。通过实验结果显示,提出的算法完成了对车载远红外视频的彩色化,算法得到的色彩图像有效可靠,能够帮助驾驶员进行实物认知,该算法有很好的实用性和合理性。With the improvement of people＇s living standard,the increase of vehicles leads to frequenttraffic accidents.The research of the auxiliary driving system of the far infrared camera plays a significant role in preventing and reducing the traffic accidents.This paper uses the far infrared camera as video capture device,multi-threshold infrared image segmentation algorithm based on Fisher evaluation function and far-infrared image coloring algorithm of color knowledge,and it distinguishes the infrared video from the threshold obtained by the algorithm.Knowledge adds color for different scenes.The experimental results show that the proposed algorithm can complete the colorization of vehicle far infrared video.The color image obtained by the algorithm is effective and reliable,and can help the driver to realize the object recognition.The algorithm has good practicability and rationality.

关 键 词：辅助驾驶系统 FISHER评价函数 远红外技术 视频彩色化 

分 类 号：TN219[电子电信—物理电子学]