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Please use this identifier to cite or link to this item: http://hdl.handle.net/UCSP/15856
Title: Region-based image retrieval using color and texture features on irregular regions of interest
Authors: Velazco Paredes, Yuber
Flores Quispe, Roxana
Patiño Escarcina, Raquel Esperanza
Keywords: Content based retrieval;Search engines;Content based image retrieval;Global feature;Local feature;Region-based image retrieval;Regions of interest;Image retrieval
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
metadata.dc.relation.uri: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945380931&doi=10.1109%2fColComCon.2015.7152077&partnerID=40&md5=002579829a009b8cb27707d1c6630c95
Abstract: The Content-based image retrieval (CBIR) systems and their application in different areas of development, are current research topics, however many of this systems are likely to fail due to use global features which cannot sufficiently capture the important properties of individual objects [1] because generally a typical query image includes relevant objects (e.g., Eiffel Tower), but also irrelevant image areas (including background). Then recently, many research has focused on region-based techniques that allow the user to specify a particular region of an image and the system will return images with similar regions to the query. For that reason this paper proposes a method of retrieval image based on irregular regions of interest where the user can to select one region. Preliminary experimental results show that the proposed method provides better retrieving result than retrieval using some of the existing methods. © 2015 IEEE.
URI: http://repositorio.ucsp.edu.pe/handle/UCSP/15856
ISBN: 9781479988341
Appears in Collections:Artículos de investigación

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