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F- Norm based Color Image Retrieval with Selective Relevance Feedback

International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 67 - Number 22
Year of Publication: 2013
Jayashree Khanapuri

Jayashree Khanapuri. Article: F- Norm based Color Image Retrieval with Selective Relevance Feedback. International Journal of Computer Applications 67(22):38-42, April 2013. Full text available. BibTeX

	author = {Jayashree Khanapuri},
	title = {Article: F- Norm based Color Image Retrieval with Selective Relevance Feedback},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {67},
	number = {22},
	pages = {38-42},
	month = {April},
	note = {Full text available}


Image retrieval has become an important aspect in today's world as there is rapid growth of digital data day by day. It is required to have efficient search system with fast and accurate retrieval to cater to the need of end user with less computational cost and time. A new content based search system is required to address the problem. In this paper, a new method is proposed for color image analysis and retrieval based on F-norm theory is presented. Image Retrieval is carried out by the decomposition of images using complex wavelet transform and extracting the features of the image from low frequency channel using F-norm theory. A new way is suggested to further enhance the performance of the system with relevance feedback in which retrieval is carried by training only the selected query images from the database having poor retrieval accuracy.


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