Content Based Image Retrieval:  An overview of structure of the image and image database

dc.contributor.author	Barathy, Ganesharajah
dc.contributor.author	Mahesan, Sinnathamby
dc.contributor.author	Pinidiyaarachchi, U.A.J.
dc.date.accessioned	2016-01-08T11:30:15Z
dc.date.accessioned	2022-06-28T04:51:43Z
dc.date.available	2016-01-08T11:30:15Z
dc.date.available	2022-06-28T04:51:43Z
dc.date.issued	2011-01-27
dc.identifier.uri	http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/819
dc.description.abstract	There are a number of challenging problems in Content Based Image Retrieval (CBIR) particularly on structure of the image and image database. Separating an image into its constituent parts is a major task in this area. In fact, an image indexing system will have to be developed. It should extract the main perceptual components in the image, their properties and relationships among them. Furthermore, storing images in a large database and retrieving them from the database in an efficient way is another major task in this area. This paper reviews the techniques used for image structure analysis and structure of the image database for CBIR to overcome the problems arising in these areas.	en_US
dc.publisher	SLIIT	en_US
dc.subject	Content based Image Retrieval, feature extraction, image databases	en_US
dc.title	Content Based Image Retrieval: An overview of structure of the image and image database	en_US
dc.type	Article	en_US