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  4. Measuring and evaluating the compactness of superpixels
 
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2012
Conference Paper
Title

Measuring and evaluating the compactness of superpixels

Abstract
Superpixel segmentation has become a popular preprocessing step in computer vision with a great variety of existing algorithms. Almost all algorithms claim to compute compact superpixels, but no one showed how to measure compactness and no one investigated the implications. In this paper, we propose a novel metric to measure superpixel compactness. With this metric, we show that there is a trade-off between compactness and boundary recall. In addition, we propose an algorithm that allows to precicely control this trade-off and that outperforms the current state-of-the-art. As a demonstration, we show the importance of considering compactness with the help of an example application.
Author(s)
Schick, Alexander
Fischer, M.
Stiefelhagen, Rainer  
Mainwork
21st International Conference on Pattern Recognition, ICPR 2012. Vol.2  
Conference
International Conference on Pattern Recognition (ICPR) 2012  
File(s)
Download (1.83 MB)
Rights
Use according to copyright law
DOI
10.24406/publica-fhg-377826
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
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