Open AccessImage Retrieval Based on WBCH and Clustering Algorithm
Author(s) -
Asmita Bhaskar Shirsath,
Munish Chouhan,
Nilesh Uke
Publication year - 2013
Publication title -
international journal of management and information technology
Language(s) - English
Resource type - Journals
ISSN - 2278-5612
DOI - 10.24297/ijmit.v5i3.761
Subject(s) - image retrieval , computer science , visual word , content based image retrieval , cluster analysis , automatic image annotation , image texture , pattern recognition (psychology) , histogram , artificial intelligence , similarity (geometry) , image (mathematics) , image processing
Research on content-based image retrieval has gained tremendous momentum during the last decade. Color, texture and shape information have been the primitive image descriptors in content based image retrieval systems. In order to get faster retrieval result from large-scale image database ,we proposed image retrieval system in which image database is first pre-processed by Wavelet Based Color Histogram (WBCH) and K-means algorithm and then using Hierarchical clustering algorithm we index the previous result and then by using similarity measures we retrieve the images from pre-processed database. Experiments show that this proposed method offers substantial increase in retrieval speed but needs to be improved on retrieval results.