Impact of clustering in image retrieval techniques

In this paper image retrieval system is explained in which features of input query image are not compared to the features of whole database image, Here hierarchical and k-means clustering is applied on database images so that query image’s low level features as texture, shape and spatial are compared to only clustered images features rather than whole database image’s features to improve speed, accuracy and efficiency. In this research work accuracy and time have been analyzed due to clustering in database images for retrieval. Keywords— CBIR, K-means, hierarchical, clustering, spatial, texture, similarity