{"title":"血管增强的耦合偏微分方程","authors":"Xiaoqiang Zhao, Ruojun Liang, Yongqiang Zhao","doi":"10.1109/ICBBE.2008.949","DOIUrl":null,"url":null,"abstract":"In this paper, a new nonlinear partial differential equations (PDEs) model is presented to enhance the local coherence of vascular structures on 2D images. The proposed model couples shock filter and crease enhancement diffusion (CED) filter which uses the crease measurement to depict vascular structure. The experiments with synthetic and real images show this filter outperforms the shock filter and CED filter.","PeriodicalId":6399,"journal":{"name":"2008 2nd International Conference on Bioinformatics and Biomedical Engineering","volume":"294 1","pages":"2466-2468"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Coupled Partial Differential Equations for Vessel Enhancement\",\"authors\":\"Xiaoqiang Zhao, Ruojun Liang, Yongqiang Zhao\",\"doi\":\"10.1109/ICBBE.2008.949\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new nonlinear partial differential equations (PDEs) model is presented to enhance the local coherence of vascular structures on 2D images. The proposed model couples shock filter and crease enhancement diffusion (CED) filter which uses the crease measurement to depict vascular structure. The experiments with synthetic and real images show this filter outperforms the shock filter and CED filter.\",\"PeriodicalId\":6399,\"journal\":{\"name\":\"2008 2nd International Conference on Bioinformatics and Biomedical Engineering\",\"volume\":\"294 1\",\"pages\":\"2466-2468\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 2nd International Conference on Bioinformatics and Biomedical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICBBE.2008.949\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 2nd International Conference on Bioinformatics and Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBBE.2008.949","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Coupled Partial Differential Equations for Vessel Enhancement
In this paper, a new nonlinear partial differential equations (PDEs) model is presented to enhance the local coherence of vascular structures on 2D images. The proposed model couples shock filter and crease enhancement diffusion (CED) filter which uses the crease measurement to depict vascular structure. The experiments with synthetic and real images show this filter outperforms the shock filter and CED filter.
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