Abstract
The purpose of this paper is to introduce an algorithm that can detect the most unusual part of a digital image. 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 can be used to scan image databases with no clear model of the interesting part or large image databases, as for example medical databases. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Koroutchev, K., & Korutcheva, E. (2008). Detecting the most unusual part of a digital image. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4958 LNCS, pp. 286–294). Springer Verlag. https://doi.org/10.1007/978-3-540-78275-9_25
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