Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2015, Vol. 26 ›› Issue (5): 050403 doi: 10.13538/j.1001-8042/nst.26.050403

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Compressed sensing and Otsu’s method based binary CT image reconstruction technique in non-destructive detection

REN Yong,1 HE Peng, 2 WANG Hong-Liang,1 CEN Zhong-Jie,1 FENG Peng, 2 WEI Biao 2   

  1. 1College of Communication Engineering, Chongqing University, Chongqing 400044, China
    2Key Laboratory of Optoelectronic Technology and Systems of Education Ministry of China, Chongqing University, Chongqing 400044, China
  • Contact: HE Peng E-mail:penghe@cqu.edu.cn
  • Supported by:

    Supported by the National Natural Science Foundation of China (Nos. 61401049 and 61201346), Postdoctoral Science Foundation of China (No. 2014M560703), Chongqing Postdoctoral Science Foundation (No. Xm2014105), and the Fundamental Research Funds for the Central Universities (Nos. CDJZR14125501 and 106112015CDJRC121103)

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REN Yong, HE Peng, WANG Hong-Liang, CEN Zhong-Jie, FENG Peng, WEI Biao . Compressed sensing and Otsu’s method based binary CT image reconstruction technique in non-destructive detection.Nuclear Science and Techniques, 2015, 26(5): 050403     doi: 10.13538/j.1001-8042/nst.26.050403

Abstract:

This paper tries to address the problem of binary CT image reconstruction in non-destructive detection with an algorithm based on compressed sensing (CS) and Otsu’s method, which could reconstruct binary CT image of test object from incomplete detection data. According to binary CT image characteristics, we employ Splitbregman method based on L1/2 regularization to solve piecewise constant region reconstruction. To improve the reconstructed image quality from incomplete detection data, we utilize a priori knowledge and Otsu’s method as the optimization constraint. In our study, we make numerical simulation to investigate our proposed method, and compare reconstructed results from different reconstruction methods. Finally, the experimental results demonstrate that the proposed method could effectively reduce noise and suppress artifacts, and reconstruct high-quality binary image from incomplete detection data.

Key words: Non-destructive detection, Computed tomography (CT), Binary image reconstruction, Compressed sensing (CS)