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Comparison of the Image Distortion Correction Methods for an X-Ray Digital Tomosynthesis System

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Book cover Image Analysis and Recognition (ICIAR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3656))

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Abstract

X-ray digital tomosynthesis (DT) is very useful to PCB inspection because it can obtain a cross-sectional image of a local inspection area quickly. The image intensifier, which is usually used in DT, distorts X-ray images in shape and intensity. Therefore, image distortion correction is one of the most important issues in realizing DT system. In this paper, two image distortion correction methods for an X-ray DT system are presented and their performances are compared. The first method is to use a simplified distortion model by a distance ratio function in intensity correction, and by 2D point mapping polynomials in shape correction. The second method is to use a general polynomial distortion model. The experimental results show a great improvement of the second method in compensation speed and accuracy.

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Authors and Affiliations

  1. Dept. of Mechatronics Engineering, Tongmyong University of Information Technology, 535 Yongdang-dong, Nam-gu, Busan, 608-711, Korea

    J. Y. Kim

Authors
  1. J. Y. Kim
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Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering Department, University of Waterloo,  

    Mohamed Kamel

  2. FEUP - Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, P.O. Box, 4200-465, Porto, Portugal

    Aurélio Campilho

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© 2005 Springer-Verlag Berlin Heidelberg

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Kim, J.Y. (2005). Comparison of the Image Distortion Correction Methods for an X-Ray Digital Tomosynthesis System. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_36

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  • DOI: https://doi.org/10.1007/11559573_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29069-8

  • Online ISBN: 978-3-540-31938-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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