{"title":"2和3材质场景从一些线Mojette投影重建","authors":"J. Guédon, Chuanlin Liu","doi":"10.1109/IPTA.2010.5586781","DOIUrl":null,"url":null,"abstract":"Discrete tomography generally focus on binary image reconstruction from two projections. The Mojette transform allows for a more general framework with any kind of values and any number of projections. Here we use the Mojette transform to address the problem of the 3 materials reconstruction. A new Mojette algorithm is derived and presented in the case of sparse data (reduce number of projections). This algorithm is also generalized for different other uses as for a binary scene reconstruction.","PeriodicalId":236574,"journal":{"name":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"The 2 and 3 materials scene reconstructed from some line Mojette projections\",\"authors\":\"J. Guédon, Chuanlin Liu\",\"doi\":\"10.1109/IPTA.2010.5586781\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Discrete tomography generally focus on binary image reconstruction from two projections. The Mojette transform allows for a more general framework with any kind of values and any number of projections. Here we use the Mojette transform to address the problem of the 3 materials reconstruction. A new Mojette algorithm is derived and presented in the case of sparse data (reduce number of projections). This algorithm is also generalized for different other uses as for a binary scene reconstruction.\",\"PeriodicalId\":236574,\"journal\":{\"name\":\"2010 2nd International Conference on Image Processing Theory, Tools and Applications\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Conference on Image Processing Theory, Tools and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPTA.2010.5586781\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPTA.2010.5586781","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The 2 and 3 materials scene reconstructed from some line Mojette projections
Discrete tomography generally focus on binary image reconstruction from two projections. The Mojette transform allows for a more general framework with any kind of values and any number of projections. Here we use the Mojette transform to address the problem of the 3 materials reconstruction. A new Mojette algorithm is derived and presented in the case of sparse data (reduce number of projections). This algorithm is also generalized for different other uses as for a binary scene reconstruction.