Volume 31 Issue 10
Oct.  2016
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Article Navigation >  Journal of Aerospace Power  > 2016  >  31(10): 2515-2521
LU Hong-yi, CHEN Qing-gui, ZHOU Hong-mei, ZHAO Ru-yan, ZHANG Zong-wei, YU Zhou. Streak artifacts correction of solid rocket motor's CT image[J]. Journal of Aerospace Power, 2016, 31(10): 2515-2521. doi: 10.13224/j.cnki.jasp.2016.10.027
Citation: LU Hong-yi, CHEN Qing-gui, ZHOU Hong-mei, ZHAO Ru-yan, ZHANG Zong-wei, YU Zhou. Streak artifacts correction of solid rocket motor's CT image[J]. Journal of Aerospace Power, 2016, 31(10): 2515-2521. doi: 10.13224/j.cnki.jasp.2016.10.027
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Streak artifacts correction of solid rocket motor's CT image

doi: 10.13224/j.cnki.jasp.2016.10.027

  • 1. Department of Airborne Vehicle Engineering, Naval Aeronautical and Astronautical University, Yantai Shandong 264001, China;

  • 2. Qingdao Branch of Naval Aeronautical and Astronautical University, Qingdao Shandong 266041, China;

  • 3. No. 7 Department, Naval Aeronautical and Astronautical University, Yantai Shandong 264001, China;

  • 4. Troop 91213, the Chinese People's Liberation Army, Yantai Shandong 264003, China;

  • 5. Aero-engine Office of Military Representatives Office of Navy in Guiyang, the Chinese People's Liberation Army, Pingba Guizhou 561102, China

  • Received Date: 2015-01-23
  • Publish Date: 2016-10-28
    Abstract
  • To correct streak artifacts in the computed tomography (CT) image of solid rocket motor (SRM), scanned by narrow fan-beam industrial CT (ICT), the reason for the streak artifacts was analyzed. Considering the streak artifacts were caused by the inconsistency of projection data of SRM after rebinning and data shake-up processes, two algorithms for the correction of streak artifacts were proposed. The two algorithms used the projection data in the half of the translation steps as the reference for the rebinning of projection data. For one algorithm, rebinning process and data shake-up process were considered as two processes. For the other, rebinning and data shake-up processes were considered as one process. To prove the effectiveness of the two algorithms, one SRM was scanned by narrow fan-beam ICT with three different scanning step sizes and SRM CT images were reconstructed by the two algorithms. Results show that the algorithm using rebinning and data shake-up as two processes performs well only if the scanning step size is small, and there are few streak artifacts in this situation. The other algorithm using rebinning and data shake-up as one process performs well and generates few streak artifacts in the situations of three different step sizes.

     

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