Content Based Image Retrieval Using Spatial Features
Akshay Alex , Pranay Goyal , Tejaswinee Thorat , Mayur Sonawane , Mr. Subhash Rathod."Content Based Image Retrieval Using Spatial Features", International Journal of Engineering Trends and Technology(IJETT), V8(6),313-318 February 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
The field of image retrieval technologies have enabled the creation of large image datasets. It is necessary to develop appropriate information systems to efficiently manage these collections. An image retrieval system is a computer system for searching, browsing and retrieving images from a large database of images.An approach known as Content-Based Image Retrieval (CBIR) systems used to retrieve images similar to a user-defined specification or pattern (image, sketch etc). Their goal is to support image retrieval based on content properties (colour, texture and shape), usually encoded into feature vectors. CBIR approach is an automatic retrieval process, instead of the traditional keyword-based approach, which usually is very time-consuming. The CBIR technology has been used in several applications such as, digital libraries, crime prevention, medicine, historical research, fingerprint identification, biodiversity information systems.
 Ricardo da Silva Torres ,Alexandre Xavier Falcão , Content Based Image Retrieval: Theory and Applications, Institute of Computing, State University of Campinas, Campinas, SP,Brazil, RITA • Volume XIII • Número 2 • 2006
 Prabhjot Kaur, Dr. Satish Devane, Content Based Image Retrieval Algorithm Using Color Models, International Journal of Advanced Research in Computer and Communication Engineering,Vol. 2, Issue 3, March 2013
 Gaurav Jaswal (student), Amit Kaul, Content Based Image Retrieval – A Literature Review, National Conference on Computing, Communication and Control (CCC?09)
 Srinivasa Kumar Devireddy, Content Based Image Retrieval,,Georgian Electronic Scientific Journal: Computer Science and Telecommunications 2009|No.5(22)
 Monika Rathore, Mr. Ravindra Gupta, Mr.Gaurav Shrivastav, A EFFECTIVE CONTENT BASED IMAGE RETRIEVAL SYSTEM BASED ON FEATURES AND TECHNIQUES ,International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 2, Issue 12, December 2013 3195
 Sitesh Kumar Sinha, Krishna kumar Pandey, Dhiraj Kushwah, A Quick Survey on latest Content Based Image Retrieval Systems(CBIRS),International Journal of Advanced Research in Computer Science and Electronics Engineering (IJARCSEE) Volume 2, Issue 9, September 2013
 Y. Poornima ,P.S. Hiremath, Survey on Content Based Image Retreival System and Gap Analysis for Visual Art Image Retreival System, IJCSI International Journal of Computer Science Issues, Vol. 10, Issue 3, No 1, May 2013
 M. H. Saad, H. I. Saleh, H. Konbor, M. Ashour, Image Retrieval based on Integration between Color and Geometric Moment Features, Arab Journal of Nuclear Sciences and Applications 45(2)447-454(2012)
 Ms. K. Arthi , Mr. J. Vijayaraghavan,Content Based Image Retrieval Algorithm Using Colour Models,International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 3, March 2013
 Aman Chadha ,Sushmit Mallik,Ravdeep Joha, Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval, International Journal of Computer Applications (0975 – 8887) Volume 52– No.20, August 2012
CBIR, digital libraries, feature vectors, keyword-based, image acquisition.