{"title":"An Algorithm for Multi-voltage Digital Radiography Image Fusion","authors":"Yanjie Qi","doi":"10.12733/JICS20105518","DOIUrl":null,"url":null,"abstract":"A fast and effective Digital Radiography (DR) image fusion method is proposed. An image can be decomposed into a base layer and a detail layer with the average filtering. A quality measure called well-exposedness to the multi-voltage DR image is proposed, and then the weight maps of the source images can be got. Then the fused base layer can be got by weighted averaging. The weight maps of the detail layers can be obtained by the contrast. And the contrast on the false edge must be reduced so as to reduce the false edges in the fusion image. Experimental results show that the structure of the component can be seen clearly in the fusion image, and the details are clearer.","PeriodicalId":213716,"journal":{"name":"The Journal of Information and Computational Science","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Information and Computational Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12733/JICS20105518","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
A fast and effective Digital Radiography (DR) image fusion method is proposed. An image can be decomposed into a base layer and a detail layer with the average filtering. A quality measure called well-exposedness to the multi-voltage DR image is proposed, and then the weight maps of the source images can be got. Then the fused base layer can be got by weighted averaging. The weight maps of the detail layers can be obtained by the contrast. And the contrast on the false edge must be reduced so as to reduce the false edges in the fusion image. Experimental results show that the structure of the component can be seen clearly in the fusion image, and the details are clearer.