Content Based Image Retrieval System: Review

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-34 Number-3
Year of Publication : 2016
Authors : Garvita, Priyanka Kamboj


Garvita, Priyanka Kamboj "Content Based Image Retrieval System: Review". International Journal of Computer Trends and Technology (IJCTT) V34(3):129-133, April 2016. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
Content Based Image Retrieval (CBIR), also called as Query By Image Content (QBIC). It has been an active research field since last decades. In contrast to traditional systems, where images are retrieved on the basis of keywords but in the CBIR system images are retrieved on the basis of visual content. Content Based Image Retrieval is an approach that enables a user to extract an image based on a query, from the database containing huge amount of images. Here, the term "content" refer to color, shape, texture, or any other information that can be derived from image itself. CBIRS is becoming a necessity for various applications such as medical imaging, Geographic Information Systems (GIS), space search and many others. In this paper, we have discussed various techniques that enable users to extract images from huge database, thus improving accuracy, efficiency and precision. The main issue in designing a Content Based Image Retrieval System is to select the image features that best represent the image contents in a database.

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CBIRS, Image databases, Color string comparison, Feature extraction, Query image, Target image.