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

Leszek J. Chmielewski
Advances in Soft Computing  
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.
doi:10.1007/3-540-32390-2_42 fatcat:urlemz6xu5eu7g7z6whbdc4xke