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小波变换在交通视频检测中的应用

APPLICATION OF WAVELET TRANSFORMATION TO TRAFFIC VIDED DETECTION
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摘要 小波变换在工程及图像去噪方面的应用已经越来越受到关注,有"数学显微镜"之称的小波变换在信号处理方面有着独特的优势。智能交通ITS(Intelligent Transportation System)在目标检测与识别的过程中需要对抓取的视频帧作图像预处理,以便更好地进行后续工作。对小波变换在智能交通中视频帧预处理方面的应用进行阐述和实现。首先从交通视频流中捕获视频帧,然后对含有常见噪声类型的帧进行小波去噪处理,最后从结果图像中比较分析出小波去噪的优点。 Wavelet transformation, known as digital microscope,is attracting more and more attention in the field of engineering and image denoise,and it displays its own special advantages in signal processing. During the target detection and recognition process in the ITS（ Intelligent Transportation System） ,images from the grabbed video frames are preprocessed for the following work. The application of wavelet transformation to video frame preprocess in ITS is introduced and implemented. First of all ,the frames are grabbed from the video stream. Secondly, the frames with common noises are denoised by wavelet. Finally,the advantages of denoise by wavelet are analyzed.
作者 毛凯 周明全 耿国华
机构地区 西北大学可视化技术研究所 北京师范大学信息科学与技术学院
出处 《计算机应用与软件》 CSCD 北大核心 2008年第4期76-78,共3页 Computer Applications and Software
基金 公安部项目(20036255201)
关键词 小波变换 图像去噪 目标检测 Wavelet transformation Image denoise Target detection
分类号 TP391.41 [自动化与计算机技术—计算机应用技术] TN911.73 [电子电信—通信与信息系统]
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参考文献4

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计算机应用与软件
2008年 第4期

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