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The images reconstructed from simulated noise projections and real projections obtained from an industrial scanner show that the new algorithm can provide higher resolution and better smoothness than the images reconstructed by the transformation method and the conventional iterative method, so it is more feasible for image reconstruction from incomplete projections. <\/jats:p>","DOI":"10.1142\/s0219467807002532","type":"journal-article","created":{"date-parts":[[2007,1,17]],"date-time":"2007-01-17T06:30:57Z","timestamp":1169015457000},"page":"55-69","source":"Crossref","is-referenced-by-count":0,"title":["FUZZY VECTOR OBJECTIVE OPTIMIZATION ALGORITHM FOR IMAGE RECONSTRUCTION FROM INCOMPLETE PROJECTIONS"],"prefix":"10.1142","volume":"07","author":[{"given":"XIN","family":"GAO","sequence":"first","affiliation":[{"name":"School of Biomedical Engineering, Capital Medical University, National Laboratory of Pattern Recognition, Chinese Academy of Science, Xitoutiao 10#, YouAn Men Wai, Fengtai district, Beijing, 100054, P. 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