167 citations · 218 across the 13 of their papers we have counts for
5 papers · 2 filters
Randomized algorithms for statistical image analysis and site percolation on square lattices
Mikhail A. Langovoy, Olaf Wittich
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 a…
Multiple testing, uncertainty and realistic pictures
Mikhail A. Langovoy, Olaf Wittich
We study statistical detection of grayscale objects in noisy images. The object of interest is of unknown shape and has an unknown intensity, that can be varying over the object an…
Robust nonparametric detection of objects in noisy images
Mikhail A. Langovoy, Olaf Wittich
We propose a novel statistical hypothesis testing method for detection of objects in noisy images. The method uses results from percolation theory and random graph theory. We prese…
Detection of objects in noisy images and site percolation on square lattices
Mikhail A. Langovoy, Olaf Wittich
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 a…
Unsupervised nonparametric detection of unknown objects in noisy images based on percolation theory
Mikhail A. Langovoy, Olaf Wittich, Patrick Laurie Davies
We develop an unsupervised, nonparametric, and scalable statistical learning method for detection of unknown objects in noisy images. The method uses results from percolation theor…