IEEJ Transactions on Electronics, Information and Systems
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
<Speech and Image Processing and Recognition>
A New Content-Based Image Retrieval Using the Multidimensional Generalization of Wald-Wolfowitz Runs Test
Thurdsak LeauhatongKazuhiko HamamotoKiyoaki AtsutaShozo Kondo
Author information
JOURNALS RESTRICTED ACCESS

2009 Volume 129 Issue 1 Pages 94-102

Details
Abstract

This paper proposes two new similarity measures for the content-based image retrieval (CBIR) systems. The similarity measures are based on the k-means clustering algorithm and the multidimensional generalization of the Wald-Wolfowitz (MWW) runs test. The performance comparisons between the proposed similarity measures and a current CBIR similarity measure based on the MWW runs test were performed, and it can be seen that the proposed similarity measures outperform the current similarity measure with respect to the precision and the computational time.

Information related to the author
© 2009 by the Institute of Electrical Engineers of Japan
Previous article Next article
feedback
Top