Randomized algorithms for statistical image analysis and site percolation on square lattices

Details Randomized algorithms for statistical image analysis and site percolation on square lattices Randomized algorithms for statistical image analysis and site percolation on square lattices

2011-02-24

arxiv.org/abs/1102.5014v1

Mathematics

Statistics Theory

Submitted for publication on December 11, 2009

Scientific paper

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. 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.

Affiliated with

Also associated with

No associations

Rating

Randomized algorithms for statistical image analysis and site percolation on square lattices does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Randomized algorithms for statistical image analysis and site percolation on square lattices, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Randomized algorithms for statistical image analysis and site percolation on square lattices will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-86866