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

Fused Entropy Algorithm in Optical Computed Tomography

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Received: 30 September 2013; in revised form: 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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MDPI and ACS Style

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

AMA Style

Wan X, Wang P, Zhang Z, Zhang H. Fused Entropy Algorithm in Optical Computed Tomography. Entropy. 2014; 16(2):943-952.

Chicago/Turabian Style

Wan, Xiong; Wang, Peng; Zhang, Zhimin; Zhang, Huaming. 2014. "Fused Entropy Algorithm in Optical Computed Tomography." Entropy 16, no. 2: 943-952.


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