An Unsupervised Cluster-based Image Retrieval Algorithm using Relevance Feedback
International Journal of Managing Information Technology (IJMIT) ISSN: 0975-5586 (Online); 0975-5926 (Print) http://airccse.org/journal/ijmit/ijmit.html Article: An Unsupervised Cluster-based Image Retrieval Algorithm using Relevance Feedback Authors Jayant Mishra1, Anubhav Sharma2 and Kapil Chaturvedi1, 1UIT, India and 2RITS, India Abstract Content-based image retrieval (CBIR) systems utilize low level query image feature as identifying similarity between a query image and the image database. Image contents are plays significant role for image retrieval. There are three fundamental bases for content-based image retrieval, i.e. visual feature extraction, multidimensional indexing, and retrieval system design. Each image has three contents such as: color, texture and shape features. Color and texture both plays important image visual features used in Content-Based Image Retrieval to improve results. Color histogram and texture features have potential to retrieve simi...