TY  - JOUR
T1  - Content Based Image Retrieval Using Heuristic Particle Swarm Optimization
AU - Ganesh, S. Sankar AU - Ramar, K. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 12
SP  - 1929
EP  - 1935
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.1929.1935
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.1929.1935
KW  - Content based image retrieval
KW  -statistical feature
KW  -region feature
KW  -particle swarm optimization
KW  -witness
AB  - In the last decades has witnessed the research interest in the field of Content Based Image Retrieval (CBIR). It inspects the visual content and detects images in the database. In this study, it is proposed a novel approach to improve the efficiency of the CBIR system based on heuristic Particle Swarm Optimization (PSO). The mean and standard deviation values of the color images are used as color features. Moreover, it is also contemplated an active contour as the region feature. PSO is used to reduce the semantic gap between retrieval results and user expectations. Experiments demonstrated that the proposed image retrieval system performed well.
ER  -