Abstract
The recently proposed algorithm, using the evidence accumulation principle, for finding lines (ridges) having shape which can be neither parameterized nor tabularized is described in detail. This fuzzy, multi-scale algorithm stores the evidence in the accumulator congruent with the image domain. The primary application was finding blood vessels in mammograms.
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References
Hough PVC (1959) In: Proc Int Conf High Energy Accelerators and Instrumentation. CERN.
Maître H (1985) Un panorama de la transformation de Hough. Traitement du Signal, 2(4):305–317
Leavers VF (1993) Which Hough transform? CVGIP-IU 58:250–264
Lam WCY, Lam MTS et al. (1994) A general evidence accumulation technique for Hough transformation. In: Proc IEEE Int Conf SMC, vol 3, 2414–2419
Aguado AS, Nixon MS, Montiel EM (1998) Parameterizing arbitrary shapes via Fourier descriptors for evidence-gathering extraction. CVIU 69(2):202–211
Merlin PM, Farber DJ (1975) A parallel mechanism for detecting curves in pictures. IEEE Trans Comp 24:96–98
Ballard DH (1981) Generalizing the Hough transform to detect arbitrary shapes. Pat Rec 13:111–122
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.
Strauss O (1999) Use the Fuzzy Hough Transform towards reduction of the precision-uncertainty duality. Pat Rec 32:1911–1922
Reisfeld D, Wolfson H, Yeshurun Y (1995) Context-free attentional operators: the Generalised Symmetry Transform. Int J Comput Vis 14:119–130
Zwiggelaar R, Astley SM et al. (2004) Linear structures in mammographic images: detection and classification. IEEE Trans Med Imag 23(9):1077–1086
Zwiggelaar R, Parr TC, Taylor CJ (1996) Finding orientated line patterns in digital mammographic images. In: Proc 7th BMVC 96 715–724
Dixon RN, Taylor CJ (1979) Automated asbestos fibre counting. In: Proc Inst Phys Conf Series vol 44, 178–185
Lindeberg T (1998) Edge detection and ridge detection with automatic scale selection. Int J Comput Vis 30(2):117–156
Zwiggelaar R, Boggis CRM (2001) Classification of linear structures in mammographic images. In: Proc Conf Med Image Underst Analysis 2001
Chmielewski L (2005) Scale and direction invariance of the evidence accumulation-based line detection algorithm. In: Proc. CORES 2005, vol of Advances in Soft Computing. Springer. (In the same volume.)
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Chmielewski, L.J. (2005). Specification 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_41
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DOI: https://doi.org/10.1007/3-540-32390-2_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25054-8
Online ISBN: 978-3-540-32390-7
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