International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 132 - Issue 13 |
Published: December 2015 |
Authors: Tanvi Patel, Mayank Kapadia, Jemish Maisuria |
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Tanvi Patel, Mayank Kapadia, Jemish Maisuria . A Review on Content based Image Retrieval. International Journal of Computer Applications. 132, 13 (December 2015), 22-25. DOI=10.5120/ijca2015907584
@article{ 10.5120/ijca2015907584, author = { Tanvi Patel,Mayank Kapadia,Jemish Maisuria }, title = { A Review on Content based Image Retrieval }, journal = { International Journal of Computer Applications }, year = { 2015 }, volume = { 132 }, number = { 13 }, pages = { 22-25 }, doi = { 10.5120/ijca2015907584 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2015 %A Tanvi Patel %A Mayank Kapadia %A Jemish Maisuria %T A Review on Content based Image Retrieval%T %J International Journal of Computer Applications %V 132 %N 13 %P 22-25 %R 10.5120/ijca2015907584 %I Foundation of Computer Science (FCS), NY, USA
Literature survey is an important for understanding and gaining much more knowledge about the specific area of a subject. An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Content-based image retrieval (CBIR) is an image search technique that complements the traditional text-based retrieval of images by using visual features, such as color, texture, and shape. This system retrieve according to the query image; that is, the user provides or selects a query image and chooses a distance measure that will be used to compare the query image to the images stored in the database. This paper is attempt to explore different CBIR technique and their application.