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On Reconstructing Curved Object Boundaries from Sparse Sets of X-Ray Images

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 905))

Abstract

We propose a hybrid method using both geometric and intensity information to reconstruct multiple curved object boundaries from sparse sets of X-ray images. We have implementated this approach and present several examples on real and synthetic data.

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© 1995 Springer-Verlag Berlin Heidelberg

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Sullivan, S., Noble, A., Ponce, J. (1995). On Reconstructing Curved Object Boundaries from Sparse Sets of X-Ray Images. In: Ayache, N. (eds) Computer Vision, Virtual Reality and Robotics in Medicine. CVRMed 1995. Lecture Notes in Computer Science, vol 905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49197-2_48

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  • DOI: https://doi.org/10.1007/978-3-540-49197-2_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-59120-7

  • Online ISBN: 978-3-540-49197-2

  • eBook Packages: Springer Book Archive

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