Image Searching Algorithm Based On 3D Histogram

Authors(4) :-Garima Verma, Pooja Gupta, Usha Gautam, Eram Fatima

In the present scenario, There is a great need of using an efficient method for the retrieval of images from the large databases as today people are using the digital images on a very large scale. Content Based Image Retrieval is one of the very important and famous approach which helps in finding the images from huge databases. Hence, the CBIR technique provides an effective approach to find the better outputs on the basis of some components of image like shape, color and texture[1].

Authors and Affiliations

Garima Verma
Students, Computer Science and Engineering ,S.I.T.M., Bbk ,Uttar Pradesh, India
Pooja Gupta
Student, Imformation Technology ,S.I.T.M., Bbk , Uttar Pradesh, India
Usha Gautam
Student, Imformation Technology ,S.I.T.M., Bbk , Uttar Pradesh, India
Eram Fatima
Assistant Professor, Computer Science and Engineering,S.I.T.M.,Bbk, Uttar Pradesh, India

Retrieval,3D Histogram, Euclidean Distance, Precision, Recall

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Publication Details

Published in : Volume 3 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 458-462
Manuscript Number : IJSRSET1732145
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Garima Verma, Pooja Gupta, Usha Gautam, Eram Fatima, " Image Searching Algorithm Based On 3D Histogram, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 2, pp.458-462, March-April-2017.
Journal URL : http://ijsrset.com/IJSRSET1732145

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