Paper Info
Title
A study on content based image retrieval using template matching of wavelet transform
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.
Year
DOI
Venue
2006
10.1007/11892960_66
KES (1)
Keywords
Field
DocType
robust similarity matching,improved performance,template matching,correlation metrics,used feature vector,efficient feature vector extraction,image information retrieval method,image information,finer information,accurate candidate image retrieval,better matching,wavelet transform,image retrieval,information retrieval,feature vector
Template matching,Data mining,Feature vector,Computer science,Image retrieval,Feature extraction,Pattern matching,Content-based image retrieval,Wavelet transform,Visual Word
Conference
Volume
ISSN
ISBN
4251
0302-9743
3-540-46535-9
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Duck Won Seo100.34
Kang Soo You242.77
Hoon Sung Kwak301.69