雾天监控视频图像Harris角点检测  

The Harris Corner Detection of Supervisory Video Image in the Foggy Weather

作　　者：刘洪琼[1] 刘知贵[1] LIU Hong-qiong,LIU Zhi-gui（College of Information Engineering,Xinan Technology University,Mianyang 621010,China）

机构地区：[1]西南科技大学信息工程学院,四川绵阳621010

出　　处：《电脑知识与技术》2011年第5期3142-3144,共3页Computer Knowledge and Technology

摘　　要：对监控视频图像研究发现,退化的视频图像在角点提取时,出现角点数量少,甚至检测不到角点的情况,对后续图像分析造成困难。通过对雾天拍摄的视频图像分析,采用改进的直方图均衡化预处理算法,对雾天图像进行局部增强处理,在高斯滤波去除噪声的基础上进行Harris角点检测。试验结果表明,通过改进的直方图均衡化处理雾天视频图像,对图像的增强效果好,解决了角点数量少的情况。According to research on the supervisory video image,degraded video image has a little corner,even the result is no corner.It is difficult for image analysis.According to analysis the video image in the foggy weather.Present to an improved histogram equilibrium image pretreatment algorithm,local enchancement image.On the basis of guass filter,detecting the image Harris corner.Experimental results show that the improved histogram equilibrum for foggy weather processing has a good performance to solve the less corner situation.

关 键 词：HARRIS角点检测 直方图均衡化 高斯滤波 图像预处理 特征提取 

分 类 号：TP37[自动化与计算机技术—计算机系统结构;自动化与计算机技术—计算机科学与技术]