Title: Invariant to transformations image retrieval from image databases using a boundary based description of object shape
Authors: Stoeva, Mariana Tsvetanova
Bozhikova, Violeta Todorova
Citation: WSCG '2009: Poster Proceedings: The 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, February 2 - 5, 2009, p. 1-4.
Issue Date: 2009
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2009/Papers_2009/!_WSCG2009_Poster_final.zip
ISBN: 978-80-86943-95-4
Keywords: obrazové vyhledávání;obrazové databáze;popis tvaru obrazu;transformace obrazu;podobnost;obsahové vyhledávání
Keywords in different language: image retrieval;image databases;object shape description;image transformation;similarity;content search
Abstract: The basic problem of the methods for shape description of image objects is their dependence on the graphical transformations. In this paper we give boundary based method for shape description based on a multi-step criterion. We present a new approach for similarity shape retrieval from image database that achieves invariance of results with respect to transformations. We define and use a criterion to achieve invariant image object representation with respect to rotation. The approach includes original description of image objects shape of the type of multi-metric attribute stored in image database and a similarity distance definition for image retrieval processing that is invariant to reflection too. Our approach achieves results that are invariant with respect to arbitrary compositions of graphical transformations.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2009: Poster Proceedings

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