A study on content based image retrieval using template matching of wavelet transform

Authors:
Duck Won Seo;Kang Soo You;Hoon Sung Kwak
Affiliations:
Department of Computer Engineering, Chonbuk National University, Jeonju, Jeonbuk, Korea;School of Liberal Arts, Jeonju University, Jeonju, Jeonbuk, Korea;Department of Computer Engineering, Chonbuk National University, Jeonju, Jeonbuk, Korea
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2006

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Abstract

Recently, issues on the internet searching of image information through various multimedia databases have drawn a tremendous attention and several researches on image information retrieval methods are on progress. By incorporating wavelet transform and correlation metrics, we propose a novel and highly efficient feature vector extraction algorithm that has a capability of a robust similarity matching. Through a number of simulations using thousands of images as a database, our presented method has been tested and verified. The simulation results have yielded a faster and highly accurate candidate image retrieval performance in comparison to those of the conventional algorithms. Such an improved performance can be obtained because the used feature vectors were compressed to 256:1 while the correlation metrics are incorporated to provide a finer information for the better matching.