Image retrieval by partial queries

Author

Grecu, Horia ; Lambert, Patrick

Author_Institution

Laboratorul de Analiza si Prelucrarea Imaginilor, Universitatea Politehnica Bucuresti, Bucharest, Romania

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

26

Abstract

We focus on the problem of partial queries on content-based image retrieval. We first address the problem of region of interest delimitation through image segmentation by color clustering. We present a robust agglomerating clustering algorithm based on cluster validity criteria derived from fuzzy partitions. We secondly address the problem of color similarity measurement between partial queries using the clustering information obtained from the segmentation stage. We present results to assess the effectiveness of both the segmentation algorithm and retrieval process on a large collection of real-world images

Keywords

content-based retrieval; fuzzy set theory; image colour analysis; image resolution; image retrieval; image segmentation; pattern clustering; cluster validity criteria; color clustering; color similarity measurement; color space resolution; content-based image retrieval; fuzzy partitions; histogram measurements; image database; image segmentation; nonparametric unsupervised clustering algorithm; partial queries; real-world images; region of interest delimitation; robust agglomerating clustering algorithm; segmentation algorithm; Clustering algorithms; Content based retrieval; Image retrieval; Image segmentation; Information retrieval; Iterative algorithms; Laboratories; Merging; Robustness; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.958944

Filename

958944