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Image Searching Algorithm Based On 3D Histogram

Authors(4):

Garima Verma, Pooja Gupta, Usha Gautam, Eram Fatima
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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].

Garima Verma, Pooja Gupta, Usha Gautam, Eram Fatima

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

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  3. Shamik Sural, Sakti Pramanik, 2002. Segmentation and Histogram generation using the HSV color space for Image Retrieval , IEEE IC IP.
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  6. Mussarat Yasmin,  2013. Use of Low Level Features for Content Based Image Retrieval: Survey, Research Journal of Recent Sciences ISSN 2277-2502 Vol. 2(11), 65-75.
  7. James Wang database available at  http://www.wang.ist.psu.edu/docs/related/6for Web Based Images, International Journal of Advanced Research in  Computer Science and Software Engineering, Volume 3, Issue 10, October 2013.

Publication Details

Published in : Volume 3 | Issue 2 | March-April - 2017
Date of Publication Print ISSN Online ISSN
2017-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
458-462 IJSRSET1732145   Technoscience Academy

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.
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