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:	https://eprints.sztaki.hu/id/eprint/6760

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