Query by image similarity using a fuzzy logic approach

Author

Filho, Anchizes Do E L GonÁalves ; Mota, Guilherme L A ; Vellasco, Marley M B R ; Pacheco, Marco A C

Author_Institution

Electr. Eng. Dept., Univ. of Rio de Janeiro, Brazil

fYear

2001

fDate

2001

Firstpage

389

Lastpage

394

Abstract

In this paper we propose a new model for query by image similarity. The model utilizes a fuzzy logic approach to cluster intrinsic image characteristics, which are extracted from subregions of the image. The clustering process provides a set of parameters that are used to compare a target image with a group of images. As a result, the system provides the images in the data set which are similar to the target image. We present as an example some queries by similarity on an image database composed of 20 types of animals. The main objective of this model is to develop an intelligent image query system that can be applied on the web and image databases

Keywords

fuzzy logic; image retrieval; pattern clustering; clustering process; fuzzy logic; image databases; intelligent image query; query by image similarity; Area measurement; Character recognition; Clustering algorithms; Electric variables measurement; Fuzzy logic; Image recognition; Pattern recognition; Robustness; Shape measurement; Target recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Multimedia Applications, 2001. ICCIMA 2001. Proceedings. Fourth International Conference on

Conference_Location

Yokusika City

Print_ISBN

0-7695-1312-3

Type

conf

DOI

10.1109/ICCIMA.2001.970501

Filename

970501