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Reconstruction of the Ultrasonic Image by the Combination of Genetic Programming and Constructive Solid Geometry

  • M. Yamagiwa
  • F. Sugimoto
  • M. Yoneyama
Part of the Acoustical Imaging book series (ACIM, volume 29)

Abstract

We propose a method for improving the highly-degraded images obtained by ultrasonic imaging system. To reconstruct 3-dimensional images from highly-degraded acoustic images, strongly typed genetic programming including constructive solid geometry which is an expression method of 3-dimensional object is used as post processor. In the tree structure of genetic programming, the temporally node is established in order to enable the individual change of type and position information of the primitive. By the experimental results, it is possible to specify type and position of the primitive from the 2-dimensional ultrasonic wave image

Key words

Visual system in extreme situations Ultrasonic imaging system Strongly typed genetic programming Constructive solid geometry 

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References

  1. 1.
    S. Watanabe, and M. Yoneyama, “Ultrasonic robot eyes using neural networks”, IEEE Trans. UFFC, Vol. 37, no. 3, pp. 141–147, 1990.Google Scholar
  2. 2.
    S. Watanabe and M. Yoneyama, “An ultrasonic visual sensor for three-dimensional object recognition using neural networks,” IEEE Trans. Robot Autom, Vol. 8, no. 4, pp. 40–49, 1992.Google Scholar
  3. 3.
    S. Watanabe and M. Yoneyama, “A nonlinear ultrasonic imaging method based on the modified information criterion,” Acoustical Imaging, Vol. 22, pp. 549–554, 1996.Google Scholar
  4. 4.
    M. Yamagiwa and M. Yoneyama, “Restoration for ultrasonic 3-dimensional image using Boltzmann machines,” Proc. Int. Symp. Image and Analysis, pp. 946–951, 2003.Google Scholar
  5. 5.
    Montana, D. J., “Strongly typed genetic programming,” Evolutionary Computation, Vol. 3, no. 2, pp. 199–230, 1995.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • M. Yamagiwa
    • 1
  • F. Sugimoto
    • 1
  • M. Yoneyama
    • 1
  1. 1.Department of Information and Computer Science, Faculty of EngineeringToyo University, 2100 KujiraiJapan

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