DocumentCode :
150124
Title :
Experimental analysis of digital image retrieval using SVD
Author :
Sharma, Divya ; Abrol, Pawanesh
Author_Institution :
Dept. of Comput. Sci. & IT, Univ. of Jammu, Jammu, India
fYear :
2014
fDate :
5-7 March 2014
Firstpage :
911
Lastpage :
914
Abstract :
Image Fusion is a technique of combining the useful information from a set of images into a single image, where the output fused image will be more informative and useful than any of the input images. Image fusion techniques can improve the quality and increase the application area of these data. This research paper compares the experimental results generated by the proposed SVD based image retrieval model with the standard method of image retrieval.
Keywords :
image fusion; image retrieval; singular value decomposition; SVD; digital image retrieval; experimental analysis; image fusion; singular value decomposition; Computational modeling; Digital images; Feature extraction; Image fusion; Image retrieval; Standards; Transforms; Image Retrieval; Image fusion; SVD; agricultural images;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2014 International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-93-80544-10-6
Type :
conf
DOI :
10.1109/IndiaCom.2014.6828096
Filename :
6828096
Link To Document :
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