DocumentCode :
2624761
Title :
Reconstruction of neutron penumbral images by a genetic algorithm with Laplacian constraint
Author :
Chen, Yen-wei ; Nakao, Zensho ; Arakaki, Kouichi ; Tamura, Shinichi
Author_Institution :
Fac. of Eng., Ryukyus Univ., Okinawa, Japan
fYear :
1996
fDate :
4-6 Sep 1996
Firstpage :
99
Lastpage :
108
Abstract :
Penumbral imaging is a technique for imaging of neutrons or other penetrating radiations. The technique uses the facts that spatial information can be recovered from the shadow or penumbra that an unknown source casts through a simple large circular aperture. The limitation is that the straightforward image reconstruction will introduce some significant distortion for a large field of view because of non-isoplanaticity of the aperture point spread function. A genetic algorithm (GA) is proposed for reconstruction of penumbral images, and the technique allows distortion-free reconstruction over a large field of view. Furthermore, because in GA the complicated a priori constraints can be easily incorporated by the appropriate modification of the cost function, the algorithm is also very tolerant of the noise
Keywords :
genetic algorithms; image coding; image reconstruction; optical transfer function; Laplacian constraint; aperture point spread function; distortion-free reconstruction; genetic algorithm; neutron penumbral images; nonisoplanaticity; penetrating radiations; spatial information; Apertures; Biomedical engineering; Cost function; Genetic algorithms; Genetic engineering; Image reconstruction; Laplace equations; Neutrons; Optical imaging; X-ray lasers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks for Signal Processing [1996] VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop
Conference_Location :
Kyoto
ISSN :
1089-3555
Print_ISBN :
0-7803-3550-3
Type :
conf
DOI :
10.1109/NNSP.1996.548340
Filename :
548340
Link To Document :
بازگشت