Fuzzy Clustering Paradigm and the Shape-Based Image Retrieval

Imran S. Ahmad, Nan Xing

This paper presents a strategy for shape-based image retrieval in which moment invariants form a feature vector to describe the shape of an object. Fuzzy k-means clustering is used to group similar images in an image collection into k-clusters whereas neural network is used to facilitate efficient retrieval of similar images against a given user-provided query image. Retrieval results and performance of the proposed scheme are compared with a setup involving k-means clustering.

Subjects: 1.10 Information Retrieval; 6.2 Multimedia

Submitted: Feb 24, 2008

This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.