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Content based Image Retrieval

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IJCA Proceedings on National Seminar on Future Trends and Innovations in Computer Engineering
© 2016 by IJCA Journal
NSFTICE 2015 - Number 1
Year of Publication: 2016
Authors:
Ayushi Tewari
Uzma Nikhatk
Sweta Malik

Ayushi Tewari, Uzma Nikhatk and Sweta Malik. Article: Content based Image Retrieval. IJCA Proceedings on National Seminar on Future Trends and Innovations in Computer Engineering NSFTICE 2015(1):13-16, August 2016. Full text available. BibTeX

@article{key:article,
	author = {Ayushi Tewari and Uzma Nikhatk and Sweta Malik},
	title = {Article: Content based Image Retrieval},
	journal = {IJCA Proceedings on National Seminar on Future Trends and Innovations in Computer Engineering},
	year = {2016},
	volume = {NSFTICE 2015},
	number = {1},
	pages = {13-16},
	month = {August},
	note = {Full text available}
}

Abstract

In Digital Image Processing there are many fields out of which Image retrieval is one of the most important area. There are many image search tools such as Google and Yahoo that provides keywords for each image. So it is important to type the keyword to get the desired image that is difficult and not satisfactory. In content based image retrieval system we extract the visual content of an image such as texture , color, shape , special layout to represent the image. . The main purposeof content based image retrieval is to extract all those images having similar features to that of query image from the database of images. To bridge the semantic gap thatexists between the representation of an image by low-level features (namely, colour, shape, texture) and its high-level semantic content as perceived by humans. This technology can be used in several application such as crime prevention , digital libraries , face detection , image fusion and many more.

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