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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 5
1589-1591,1596

Image reconstruction algorithm for electrical capacitance tomography based on improved FOCUSS algorithm

Ma Min
Liu Yanan
Yang Tao
Xue Qian
College of Electronic Information & Automation, Civil Aviation University of China, Tianjin 300300, China
DOI: 10.19734/j.issn.1001-3695.2017.11.0828

Abstract

On the basis of compressed sensing, this paper proposed an improved FOCUSS algorithm for the reconstruction of electrical capacitance tomography, which aiming at the ill-conditionedness and ill-posedness of the inverse problem of ECT. The discrete cosine transform(DCT) basis made the grayscale signals of original images sparse. In the process of solving the inverse problem by employing the regularized FOCUSS algorithm, it introduced the quasi-Newton method to approximate and solve the intermediate sparse variables to improve the accuracy of signal reconstruction. Results of the simulation show that compared with LBP, Tikhonov, Landweber and FOCUSS algorithm, the improved FOCUSS algorithm can effectively distinguish the different media in the substance field, alleviate the over-smoothing effect, reduce the image error between the original image and the reconstructed image to 0.23, it increases the correlation coefficient to 0.80, offers better image quality, and provides a new idea for the research on the algorithm for the reconstruction of ECT.

Foundation Support

国家自然科学基金资助项目(61401466)
中央高校基金资助项目(3122013C007)
国家自然科学基金委员会与中国民用航空局联合资助项目(U1733119)
民航科技资助项目(20150220)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.11.0828
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 5
Section: Technology of Graphic & Image
Pages: 1589-1591,1596
Serial Number: 1001-3695(2019)05-065-1589-03

Publish History

[2019-05-05] Printed Article

Cite This Article

马敏, 刘亚楠, 杨涛, 等. 基于改进FOCUSS算法的电容层析成像算法研究 [J]. 计算机应用研究, 2019, 36 (5): 1589-1591,1596. (Ma Min, Liu Yanan, Yang Tao, et al. Image reconstruction algorithm for electrical capacitance tomography based on improved FOCUSS algorithm [J]. Application Research of Computers, 2019, 36 (5): 1589-1591,1596. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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