I have a IEEE paper that needs to be implemented.
In recent years, with the development of digital
image techniques and digital albums in the Internet, the use of
digital image retrieval process has increased dramatically. An
image retrieval system is a computer system for browsing,
searching and retrieving images from large databases of digital
images. In order to increase the accuracy of image retrieval, a
content-based image retrieval system(CBIR) based on interactive
genetic algorithm (IGA) is proposed. Color, texture and edge
have been the primitive low level image descriptors in content
based image retrieval systems. In this paper we proposed a
system that splits the retrieval process into two stages. In the
query stage, the feature descriptors of a query image were
extracted and then used to evaluate the similarity between the
query image and those images in the database. In the evolution
stage, the most relevant images were retrieved by using the IGA.
IGA is employed to help the users identify the images that are
most satisfied to the users’ need. The experimental evaluation of
the system is based on a 10000 WANG color image database.
Experimental results demonstrate the feasibility of the proposed
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