Detecting the Most Unusual Part of a Digital Image

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 im...

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Bibliographic Details
Published inCombinatorial Image Analysis Vol. 4958; pp. 286 - 294
Main Authors Koroutchev, Kostadin, Korutcheva, Elka
Format Book Chapter
LanguageEnglish
Published Germany Springer Berlin / Heidelberg 2008
Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Fractal Image Compression
Image Database
Interesting Part
Large Image Database
Similar Projection
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Summary: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.
ISBN:9783540782742
3540782745
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-78275-9_25