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Detection of objects in noisy images and site percolation on square lattices

2009

Technical Report

ei


We propose a novel probabilistic method for detection of objects in noisy images. The method uses results from percolation and random graph theories. We present an algorithm that allows to detect objects of unknown shapes in the presence of random noise. Our procedure substantially differs from wavelets-based algorithms. The algorithm has linear complexity and exponential accuracy and is appropriate for real-time systems. We prove results on consistency and algorithmic complexity of our procedure.

Author(s): Langovoy, M. and Wittich, O.
Number (issue): 2009-035
Year: 2009
Month: November
Day: 0

Department(s): Empirical Inference
Bibtex Type: Technical Report (techreport)

Institution: EURANDOM, Technische Universiteit Eindhoven

Digital: 0

Links: PDF

BibTex

@techreport{LangovoyW2009,
  title = {Detection of objects in noisy images and site percolation on square lattices},
  author = {Langovoy, M. and Wittich, O.},
  number = {2009-035},
  institution = {EURANDOM, Technische Universiteit Eindhoven},
  month = nov,
  year = {2009},
  month_numeric = {11}
}