DocumentCode :
2447662
Title :
A New Content-Based Image Indexing and Retrieval System of Mosaic Images
Author :
Hedhbi, Makrem M. ; Mezhoud, Rim ; Hiri, Slim M. ; Ghorbe, Faouzi
Author_Institution :
Groupe de Recherche en Images et Formes, Univ. de la Manouba
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
1715
Lastpage :
1719
Abstract :
Development and practice of content-based image retrieval (CBIR) systems becomes frequent during last decade, in favour of surfers and specialists. However, no recognised system have been dedicated to archaeological purposes, where archeologists try to identify mosaic images with similar content, or need to recognize one or more objects in those images. In this contribution, we propose a new CBIR of mosaic images system, using four description methods. To allow partial queries, we added an object-extracting subsystem from images, using a statistical segmentation combined with some morphological operators. These objects constitute a new images´ database, and define a new representation space. Retrieval is perform using two similarity metrics induced on the first and the second spaces
Keywords :
archaeology; content-based retrieval; feature extraction; image morphing; image segmentation; indexing; object detection; archaeological purposes; content-based image indexing; image retrieval system; images database; morphological operators; mosaic images system; object-extracting subsystem; similarity metrics; statistical segmentation; Content based retrieval; Convergence; Image databases; Image recognition; Image retrieval; Image segmentation; Indexing; Joining processes; Shape; Web sites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
Type :
conf
DOI :
10.1109/ICTTA.2006.1684644
Filename :
1684644
Link To Document :
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