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Scale and Rotation Invariance of the Evidence Accumulation-Based Line Detection Algorithm

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Computer Recognition Systems

Part of the book series: Advances in Soft Computing ((AINSC,volume 30))

Abstract

The scale and rotation invariance properties of a recently proposed algorithm, using the fuzzy evidence accumulation principle, for finding lines (ridges) of non-parametric shapes is analysed. The proposed modifications consist in scaling the accumulated value with the inverse of the line width and further fuzzifying the accumulation process — along the line width. Good invariance properties received are tested on artificial images and confirmed on real-life mammographic images.

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References

  1. Chmielewski L (2004) Detection of non-parametric lines by evidence accumulation: Finding blood vessels in mammograms. In: Proc ICCVG 2004, vol of Computational Imaging and Vision. Springer. In print.

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© 2005 Springer-Verlag Berlin Heidelberg

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Chmielewski, L.J. (2005). Scale and Rotation Invariance of the Evidence Accumulation-Based Line Detection Algorithm. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_42

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  • DOI: https://doi.org/10.1007/3-540-32390-2_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25054-8

  • Online ISBN: 978-3-540-32390-7

  • eBook Packages: EngineeringEngineering (R0)

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