Region-based image retrieval using color and texture features on irregular regions of interest

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Resumen

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.

Idioma originalInglés
Título de la publicación alojada2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings
EditoresYuli Andrea Rodriguez P
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781479988341
DOI
EstadoPublicada - 7 jul. 2015
Publicado de forma externa
Evento2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Popayan, Colombia
Duración: 13 may. 201515 may. 2015

Serie de la publicación

Nombre2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings

Conferencia

Conferencia2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015
País/TerritorioColombia
CiudadPopayan
Período13/05/1515/05/15

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Publisher Copyright:
© 2015 IEEE.

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