Content Based Image Retrieval Using Spatial Features
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2014 by IJETT Journal | ||
| Volume-8 Number-6 |
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| Year of Publication : 2014 | ||
| Authors : Akshay Alex , Pranay Goyal , Tejaswinee Thorat , Mayur Sonawane , Mr. Subhash Rathod |
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 10.14445/22315381/IJETT-V8P258 |
Citation
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
Abstract
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.
References
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Keywords
CBIR, digital libraries, feature vectors, keyword-based, image acquisition.