Video Pre-Processing of Image Information for Vehicle Identification

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dc.categoryJournal Article
dc.contributor.authorPadmavathi, G
dc.contributor.authorShanmugapriya, D
dc.date.accessioned2017-04-18T19:06:08Z
dc.date.available2017-04-18T19:06:08Z
dc.date.issued2011
dc.departmentInformation Technologyen_US
dc.description.abstractThis paper presents a video-based vehicle identification system which consists of preprocessing, segmentation, object extraction, object tracking and vehicle classification. The linear and non-linear filtering teehniques are adopted here to filtering the video sequences for noise removal. Image filtering algorithms are applied on videos to remove the different types of noise that are either present in the video during capturing or injected in to the video during transmission. In this work the different filtering algorithms are adopted and the performances of the filters are eompared using Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE).en_US
dc.identifier.urihttps://ir.avinuty.ac.in/handle/avu/3233
dc.langEnglishen_US
dc.publisher.nameInternational Journal of Engineering Sicences And Technologyen_US
dc.publisher.typeInternationalen_US
dc.titleVideo Pre-Processing of Image Information for Vehicle Identificationen_US
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