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
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
S. Watanabe, and M. Yoneyama, “Ultrasonic robot eyes using neural networks”, IEEE Trans. UFFC, Vol. 37, no. 3, pp. 141–147, 1990.
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.
S. Watanabe and M. Yoneyama, “A nonlinear ultrasonic imaging method based on the modified information criterion,” Acoustical Imaging, Vol. 22, pp. 549–554, 1996.
M. Yamagiwa and M. Yoneyama, “Restoration for ultrasonic 3-dimensional image using Boltzmann machines,” Proc. Int. Symp. Image and Analysis, pp. 946–951, 2003.
Montana, D. J., “Strongly typed genetic programming,” Evolutionary Computation, Vol. 3, no. 2, pp. 199–230, 1995.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer Science+Business Media B.V.
About this paper
Cite this paper
Yamagiwa, M., Sugimoto, F., Yoneyama, M. (2008). Reconstruction of the Ultrasonic Image by the Combination of Genetic Programming and Constructive Solid Geometry. In: Akiyama, I. (eds) Acoustical Imaging. Acoustical Imaging, vol 29. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8823-0_34
Download citation
DOI: https://doi.org/10.1007/978-1-4020-8823-0_34
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-8822-3
Online ISBN: 978-1-4020-8823-0
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)