VisualRank for Image Retrieval from Large-Scale Image Database
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 4
Abstract
VisualRank provide ranking among images to be retrieved by measuring common visual features of the images. The similarity between images is measured by measuring similarity within extracted features like Texture, Color and Gray Histogram. Image ranked higher, when most of image features matched to features of query image. In this paper, VisualRank approach is based on k-means clustering and minimum distance findings among images is used. The results of experimental study of proposed algorithm are shown with analysis of resultant image features. The images are retrieved based on selection of images with maximum similarity features
Authors and Affiliations
Suryakant P. Bhonge , Devendra S. Chaudhari obtained , Prashant L. Paikrao
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