Windsurf: region-based image retrieval using wavelets
Ardizzoni, S.
Bartolini, I.
Patella, M.
Comput. Sci. Lab., Bologna Univ.;
This paper appears in: Database and Expert Systems Applications, 1999. Proceedings. Tenth International Workshop on
Publication Date: 1999
On page(s): 167-173
Meeting Date: 09/01/1999 - 09/03/1999
Location: Florence, Italy
ISBN: 0-7695-0281-4
References Cited: 15
INSPEC Accession Number: 6359062
Digital Object Identifier: 10.1109/DEXA.1999.795161
Current Version Published: 2002-08-06
Abstract
In this paper we present WINDSURF (Wavelet-Based Indexing of
Images Using Region Fragmentation), a new approach to content-based
image retrieval. The method uses the wavelet transform to extract color
and texture features from an image and applies a clustering technique to
partition the image into a set of “homogeneous” regions.
Similarity between images is assessed by using the Bhattacharyya
distance to compare region descriptors, and then combining the results
at image level. Experimental results on a testbed of 10000
general-purpose images show that our approach is very effective in
retrieving images that are “semantically” similar to the
query image. In particular, we compared results of WINDSURF with the
approach by Stricker and Orengo, showing that that a significant
improvement is obtained in the quality of the result
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