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Optimal Threshold Selection for Tomogram Segmentation by Reprojection of the Reconstructed Image

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Computer Analysis of Images and Patterns (CAIP 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4673))

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Abstract

Grey value thresholding is a segmentation technique commonly applied to tomographic image reconstructions. Many procedures have been proposed to optimally select the grey value thresholds based on the image histogram. In this paper, a new method is presented that uses the tomographic projection data to determine optimal thresholds. The experimental results for phantom images show that our method obtains superior results compared to established histogram-based methods.

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Authors and Affiliations

  1. University of Antwerp, Vision Lab, Universiteitsplein 1, B-2610 Wilrijk, Belgium

    K. Joost Batenburg & Jan Sijbers

Authors
  1. K. Joost Batenburg
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  2. Jan Sijbers
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Walter G. Kropatsch Martin Kampel Allan Hanbury

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© 2007 Springer-Verlag Berlin Heidelberg

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Batenburg, K.J., Sijbers, J. (2007). Optimal Threshold Selection for Tomogram Segmentation by Reprojection of the Reconstructed Image. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds) Computer Analysis of Images and Patterns. CAIP 2007. Lecture Notes in Computer Science, vol 4673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74272-2_70

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  • DOI: https://doi.org/10.1007/978-3-540-74272-2_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74271-5

  • Online ISBN: 978-3-540-74272-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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