Using Simple Decomposition for Smoothing and Feature Point Detection of Noisy Digital Curves

@article{Pikaz1994UsingSD,
  title={Using Simple Decomposition for Smoothing and Feature Point Detection of Noisy Digital Curves},
  author={Arie Pikaz and Its'hak Dinstein},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={1994},
  volume={16},
  pages={808-813}
}
This correspondence presents an algorithm for smoothed polygonal approximation of noisy digital planar curves, and feature point detection. The resulting smoothed polygonal representation preserves the signs of the curvature function of the curve. The algorithm is based on a simple decomposition of noisy digital curves into a minimal number of convex and concave sections. The location of each separation point is optimized, yielding the minimal possible distance between the smoothed… CONTINUE READING
BETA

Topics from this paper.

Citations

Publications citing this paper.

Similar Papers

Loading similar papers…