Detecting the Most Unusual Part of Two and Three-dimensional Digital Images
Data Analysis, Statistics and Probability
2015-03-17 v2 Computer Vision and Pattern Recognition
Medical Physics
Abstract
The purpose of this paper is to introduce an algorithm that can detect the most unusual part of a digital image in probabilistic setting. The most unusual part of a given shape is defined as a part of the image that has the maximal distance to all non intersecting shapes with the same form. The method is tested on two and three-dimensional images and has shown very good results without any predefined model. A version of the method independent of the contrast of the image is considered and is found to be useful for finding the most unusual part (and the most similar part) of the image conditioned on given image. The results can be used to scan large image databases, as for example medical databases.
Keywords
Cite
@article{arxiv.1005.0527,
title = {Detecting the Most Unusual Part of Two and Three-dimensional Digital Images},
author = {Kostadin Koroutchev and Elka Korutcheva},
journal= {arXiv preprint arXiv:1005.0527},
year = {2015}
}
Comments
16 pages