Open AccessAn Integration of Genetic Algorithm and Projected Clustering for Optimization of Content Based Image Retrieval System
Author(s) -
S. Selvam,
S. Kannan
Publication year - 2014
Publication title -
iars international research journal
Language(s) - English
Resource type - Journals
eISSN - 2202-2821
pISSN - 1839-6518
DOI - 10.51611/iars.irj.v4i2.2014.39
Subject(s) - computer science , content based image retrieval , cluster analysis , precision and recall , minicomputer , information retrieval , image retrieval , data mining , genetic algorithm , data retrieval , image (mathematics) , artificial intelligence , machine learning , operating system
In recent years especially in the last decade, the rapid development in computers, storage media and digital image capturing devices enable to collect a large number of digital information and store the minicomputer readable formats. The main objective of this paper is to build more generalized CBIR system which increase the searching ability and provide more accurate results. To improve the retrieval accuracy the system has taken the feedback from the user automatically. To evaluate the performance of new system, we use WANG database. The metrics used for evaluation are precision, recall and retrieval time. The performance can be evaluated by comparing some existing systems in CBIR. The performance of new system in terms of the metrics proves to good.