IJSRP, Volume 4, Issue 4, April 2014 Edition [ISSN 2250-3153]
Prof D.D. Pukale, Miss. Laxmi P. Dabade, Miss. Varsha B. Patil, Miss. Chandani P.Lodha, Miss. Nikita S. Ghode
At present, tags are extensively used to describe the images, so that utilizing these tags for image retrieval system is today’s need. So, our system incorporates image similarity graph with image-tag bipartite graph using visual features of image like color, shape & texture .For color feature extraction HSV model, for shape feature extraction Sobel with mean and median filter, for texture feature extraction Framelet methods are used. Initially we extract features by these three methods and all features are combined for matching between images in the database and query image. Combination of the features of the three methods along with CBIR and TBIR are used to balance the influence between image content tags. The system is able to retrieve the images related to the query as well as annotating the query image.