Volume 36 Issue 9
Sep.  2010
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Zuo Kai, Sun Tongjing, Li Zhenhua, et al. Adaptive industrial CT outlier detection and accommodation using innovation orthogonal[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(9): 1103-1107. (in Chinese)
Citation: Zuo Kai, Sun Tongjing, Li Zhenhua, et al. Adaptive industrial CT outlier detection and accommodation using innovation orthogonal[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(9): 1103-1107. (in Chinese)

Adaptive industrial CT outlier detection and accommodation using innovation orthogonal

  • Received Date: 12 Mar 2010
  • Publish Date: 30 Sep 2010
  • The problem of defect recognition in industrial CT(computerized tomography) projection image was discussed based on the innovation orthogonality principle. Projection image was modeling in a 2-D state space structure. By analyzing the innovation orthogonality of Kalman filtering algorithm, a dynamic evaluation function and the corresponding threshold on the determination of image region and grey scale were defined respectively. A new adaptive defect recognition method was obtained. Based on 2-D Kalman filter, the proposed method was implemented for defecting image recognition adaptively which can improve the efficiency and accuracy for CT image recognition. An experiment was given to illustrate the effectiveness of the proposed method.

     

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