{"title":"四投影二值图像重建","authors":"M. Soumekh","doi":"10.1109/ICASSP.1988.196836","DOIUrl":null,"url":null,"abstract":"Addresses the problem of reconstructing an image from two pairs of its orthogonal projections. The range and support information of the image function is utilised in conjunction with the available projections to develop an iterative reconstruction method; the iterative algorithm is an error energy reduction scheme. Reconstruction results for two classes of image functions are presented.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Binary image reconstruction from four projections\",\"authors\":\"M. Soumekh\",\"doi\":\"10.1109/ICASSP.1988.196836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Addresses the problem of reconstructing an image from two pairs of its orthogonal projections. The range and support information of the image function is utilised in conjunction with the available projections to develop an iterative reconstruction method; the iterative algorithm is an error energy reduction scheme. Reconstruction results for two classes of image functions are presented.<<ETX>>\",\"PeriodicalId\":448544,\"journal\":{\"name\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.1988.196836\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1988.196836","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Addresses the problem of reconstructing an image from two pairs of its orthogonal projections. The range and support information of the image function is utilised in conjunction with the available projections to develop an iterative reconstruction method; the iterative algorithm is an error energy reduction scheme. Reconstruction results for two classes of image functions are presented.<>