摘要
图像质量检测技术可以代替人工巡检的方式对视频质量进行自动检测,对监控系统中视频图像出现的异常进行准确分析、判断和报警,以保障规模不断扩大的网络视频监控系统的正常运行。基于空间域的图像噪声检测技术,利用图像的邻域信息特征与各类噪声异常在空间域上的轮廓和方向分布,并结合OpenCV图像处理技术,实现对噪点、雪花和条纹异常的检测。空间域噪声检测算法,与人的视觉感知相一致,可以用于监控视频的实时检测。
Image quality detection technology can automatically detect the image abnormality in order to replace manual inspection methods for the monitoring system.It can accurately analyze abnormalities of the video,and alarm the system in order to ensure normal running of the expanding network video surveillance system.Noise detection technology based on the spatial domain uses the image information of the field characteristics,profiles and orientation distributions of various kinds of abnormal noise in spatial domain,and takes advantage of OpenCV-based image processing technology achieving detection of noise points,snowflakes and stripes.The noise detection algorithm in spatial domain proposed,is consistent with human visual perception and can be used to monitor video for real-time detection.
出处
《计算机应用》
CSCD
北大核心
2012年第6期1552-1556,共5页
journal of Computer Applications
基金
国家863计划项目(2009AA01A340)
国家发改委CNGI课题(CNGI-09-03-14)
安徽省教育厅高校自然科学研究项目
关键词
视频质量检测
图像噪声
空间域
噪点
雪花
条纹
video quality detection
image noise
spatial domain
noise point
snowflake
stripe
