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Entropy 2014, 16(2), 943-952; doi:10.3390/e16020943
Article

Fused Entropy Algorithm in Optical Computed Tomography

1,2,* , 2
, 2
 and 2
1 Key Laboratory of Space Active Opto-Electronics Technology, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences, Shanghai 200083, China 2 Key laboratory of Nondestructive Test (Ministry of Education), Nanchang Hangkong University, Nanchang 330063, China
* Author to whom correspondence should be addressed.
Received: 30 September 2013 / Revised: 10 February 2014 / Accepted: 10 February 2014 / Published: 17 February 2014
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Abstract

In most applications of optical computed tomography (OpCT), limited-view problems are often encountered, which can be solved to a certain extent with typical OpCT reconstructive algorithms. The concept of entropy first emerged in information theory has been introduced into OpCT algorithms, such as maximum entropy (ME) algorithms and cross entropy (CE) algorithms, which have demonstrated their superiority over traditional OpCT algorithms, yet have their own limitations. A fused entropy (FE) algorithm, which follows an optimized criterion combining self-adaptively ME with CE, is proposed and investigated by comparisons with ME, CE and some traditional OpCT algorithms. Reconstructed results of several physical models show this FE algorithm has a good convergence and can achieve better precision than other algorithms, which verifies the feasibility of FE as an approach of optimizing computation, not only for OpCT, but also for other image processing applications.
Keywords: optical computed tomography; fused entropy; reconstruction optical computed tomography; fused entropy; reconstruction
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Wan, X.; Wang, P.; Zhang, Z.; Zhang, H. Fused Entropy Algorithm in Optical Computed Tomography. Entropy 2014, 16, 943-952.

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