{"title":"基于统计假设检验的低比特率编码图像分割","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":"{\"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}","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}
A statistical hypothesis test-based image segmentation for low-bit rate coding
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.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
