Graph based solution for segmentation tasks in case of out-of-focus, noisy and corrupted images

Keszler, Anita and Szirányi, Tamás and Tuza, Zsolt (2011) Graph based solution for segmentation tasks in case of out-of-focus, noisy and corrupted images. In: IMAGAPP and IVAPP 2011 - Proceedings of the international conference on imaging theory and applications and international conference on information visualization theory and applications, 2011-03-05 - 2011-03-07, Vilamoura, Portugália.

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Abstract

We introduce a new method for image segmentation tasks by using dense subgraph mining algorithms. The main advantage of the present solution is to treat the out-of-focus, noise and corruption problems in one unified framework, by introducing a theoretically new image segmentation method based on graph manipulation. This demonstrated development is however a proof of concept: how dense subgraph mining algorithms can contribute to general segmentation problems.

Item Type: Conference or Workshop Item (Paper)
Additional Information: #Könyv Szerző ismeretlen
Uncontrolled Keywords: Image segmentation, Graph-based clustering, Focus map, Dense subgraph mining
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Distributed Events Analysis Research Laboratory
Depositing User: EPrints Admin
Date Deposited: 12 Dec 2012 08:41
Last Modified: 05 Feb 2014 12:16
URI: http://eprints.sztaki.hu/id/eprint/6760

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