Scale and Rotation Invariance of the Evidence Accumulation-Based Line Detection Algorithm
نویسنده
چکیده
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. REPRINT. In: Computer Recognition Systems: Proc. Int. Conf. CORES 2005, pages 363-370, Rydzyna, Poland, May 22-25, 2005. Vol. in series: Advances in Soft Computing, Springer Verlag. ISBN 3-540-25054-9.
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