DocumentCode :
2248687
Title :
Research of the image reconstruction from incomplete projection data based on the homotopy mapping
Author :
Fei, Li ; Jin-Xiao, Pan
Author_Institution :
Dept. of Math., North Univ. of China, Taiyuan, China
Volume :
3
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
391
Lastpage :
394
Abstract :
Multi-objective optimization reconstruction algorithm is one of the main methods to solve the limited angle image reconstruction. However we have great difficulty in selecting the right parameter reasonably because there is not only one objective function. So we give a new method to choose the parameter which was called homotopy parameter based on the theory of homotopy in this paper. Finally, the simulations were carried out to verify the proposed strategy, and the simulation results show that this algorithm is superior to the conventional multi-objective optimization methods in many aspects, such as less reconstruction errors, higher smoothness and gray value resolution.
Keywords :
image reconstruction; optimisation; gray value resolution; higher smoothness; homotopy mapping; image reconstruction research; incomplete projection data; less reconstruction errors; multiobjective optimization reconstruction algorithm; Asia; Blindness; Computed tomography; Image reconstruction; Mathematics; Optimization methods; Pixel; Robotics and automation; Testing; X-ray imaging; homotopy parameter; limited angle image reconstruction; multi-objective optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
ISSN :
1948-3414
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
Type :
conf
DOI :
10.1109/CAR.2010.5456717
Filename :
5456717
Link To Document :
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