{"title":"A statistical hypothesis test-based image segmentation for low-bit rate coding","authors":"Seoung-Jun Oh, Byungsun Bang, E. S. Kim","doi":"10.1109/APCAS.1996.569238","DOIUrl":null,"url":null,"abstract":"We proposed a new image segmentation algorithm, called \"SC-SAM\", which checks the homogeneity of an image block using a statistical hypothesis test. SC-SAM consists of five processes: a split process, edge region adjustment, a merge process, postprocessing, and region representation. ShortCut test is applied to split a block as well as to merge two homogeneous regions into a region. A threshold value for the region homogeneity test can be chosen theoretically. SC-SAM can provide relatively very low computational complexity as well as keep the quality of a reconstructed image. Furthermore, SC-SAM removes the necessity of a control map used for refining the output in conventional algorithms. SC-SAM can considerably reduce the number of merged regions and computational time, while retaining the visual quality of the reconstructed image.","PeriodicalId":20507,"journal":{"name":"Proceedings of APCCAS'96 - Asia Pacific Conference on Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1996-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of APCCAS'96 - Asia Pacific Conference on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCAS.1996.569238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We proposed a new image segmentation algorithm, called "SC-SAM", which checks the homogeneity of an image block using a statistical hypothesis test. SC-SAM consists of five processes: a split process, edge region adjustment, a merge process, postprocessing, and region representation. ShortCut test is applied to split a block as well as to merge two homogeneous regions into a region. A threshold value for the region homogeneity test can be chosen theoretically. SC-SAM can provide relatively very low computational complexity as well as keep the quality of a reconstructed image. Furthermore, SC-SAM removes the necessity of a control map used for refining the output in conventional algorithms. SC-SAM can considerably reduce the number of merged regions and computational time, while retaining the visual quality of the reconstructed image.
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