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

  • Leszek J. Chmielewski
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 30)


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.


Line Width Line Intensity Rotation Invariance Mammographic Image Lineness Ridge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 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.Google Scholar
  2. 2.
    Chmielewski L (2005) Specification of the evidence accumulation-based line detection algorithm. In: Proc CORES 2005, vol of Advances in Soft Computing. Springer. (In the same volume.)Google Scholar
  3. 3.
    Zwiggelaar R, Astley SM et al. (2004) Linear structures in mammographic images: detection and classification. IEEE Trans Med Imag 23(9):1077–1086CrossRefGoogle Scholar
  4. 4.
    Suckling J, Parker J et al. (1994) The Mammographic Images Analysis Society digital mammogram database. In: Gale AG, Astley SM et al. (eds) Digital Mammography, vol 1069 of Excerpta Medica International Congress Series 375–378 ( Scholar
  5. 5.
    Zwiggelaar R, Boggis CRM (2001) Classification of linear structures in mammographic images. In: Proc Conf Med Image Underst Analysis 2001 Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Leszek J. Chmielewski
    • 1
  1. 1.Institute of Fundamental Technological ResearchPASWarsawPoland

Personalised recommendations