Premium
Orthogonal projection sampling method used in reconstruction of incomplete data field
Author(s) -
Hongbing Yao,
Xia Ye,
Jun Zhou,
Anzhi He
Publication year - 2006
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.21947
Subject(s) - sampling (signal processing) , projection (relational algebra) , orthographic projection , computer science , field (mathematics) , iterative reconstruction , range (aeronautics) , algorithm , artificial intelligence , computer vision , mathematics , engineering , filter (signal processing) , pure mathematics , aerospace engineering
An orthogonal projection sampling method is proposed in this paper for the reconstruction of incomplete data field by using the prior knowledge algorithm based on the modified algebra reconstruction technology (ART) in the optical computerized tomography (OCT). Experiments based to this method are studied. The satisfying reconstruction results are obtained with less sampling projection numbers and limited sampling angular range. The results indicate that orthogonal projection sampling can improve the precision in the reconstruction of incomplete data, and the precision reaches 10%. © 2006 Wiley Periodicals,Inc. Microwave Opt Technol Lett 48:2333–2336, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.21947