Next Article in Journal
The Elusive Nature of Entropy and Its Physical Meaning
Previous Article in Journal
Statistical Analysis of Distance Estimators with Density Differences and Density Ratios
Article Menu

Export Article

Open AccessArticle
Entropy 2014, 16(2), 943-952;

Fused Entropy Algorithm in Optical Computed Tomography

Key Laboratory of Space Active Opto-Electronics Technology, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences, Shanghai 200083, China
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
Full-Text   |   PDF [456 KB, uploaded 24 February 2015]


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. View Full-Text
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 (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

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

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top