Finding stable salient contours

Lan, Yuxuan, Harvey, Richard ORCID: https://orcid.org/0000-0001-9925-8316 and Perez Torres, Jose Roberto (2010) Finding stable salient contours. Image and Vision Computing, 28 (8). pp. 1244-1254. ISSN 1872-8138

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Abstract

Methods for generating maximally stable extremal regions are generalized to make intensity trees. Such trees may be computed quickly, but they are large so there is a need to select useful nodes within the tree. Methods for simplifying the tree are developed and it is shown that standard confidence tests may be applied to regions identified as parent and child nodes in the tree. These tests provide a principled way to edit the tree and hence control its size. One of the algorithms for simplifying trees is able to reduce the tree size by at least 90% while retaining important nodes. Furthermore the tree can be parsed to identify salient contours which are presented as generalisations of maximally stable extremal regions.

Item Type:	Article
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Interactive Graphics and Audio Faculty of Science > Research Groups > Smart Emerging Technologies
Depositing User:	EPrints Services
Date Deposited:	01 Oct 2010 13:43
Last Modified:	24 Sep 2024 09:08
URI:	https://ueaeprints.uea.ac.uk/id/eprint/3920
DOI:	10.1016/j.imavis.2010.01.002

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