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Image Retrieval Using Fuzzy Evaluation of Color Similarity

Academic Article
Publication Date:
1994
abstract:
The paper describes the design and implementation of an information retrieval system using color as the index in its color image archive. Salient aspects of this approach are the use of direct visual representation of color in querying and of fuzzy set theory to formally represent intrinsic human uncertainty in evaluating the similarity between colors (query interpretation). The steps in which the information retrieval strategy is organized are illustrated, and an example of its application given, showing how the implemented system can be tailored to manage archives of images representing fabric samples. Read More: http://www.worldscientific.com/doi/abs/10.1142/S0218001494000486
Iris type:
01.01 Articolo in rivista
Keywords:
Image retrieval; image indexing; fuzzy logic; color description
List of contributors:
Gagliardi, Isabella
Authors of the University:
GAGLIARDI ISABELLA
Handle:
https://iris.cnr.it/handle/20.500.14243/4776
Published in:
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Journal
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http://dblp.uni-trier.de
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