Image Searching Algorithm Based On 3D Histogram

Authors

  • 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

Keywords:

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

Abstract

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].

References

  1. Bhar K. Hemachandran, Manimala Singha. Content Based Image Retrieval using Color and Texture Signal & Image Processing : An International Journal (SIPIJ) Vol.3, No.1 ,2012.
  2. M. Rehman, M. Iqbal, M. Sharif and M. Raza, 2012. Content Based Image Retrieval: Survey, DOI: 10.5829/idosi.wasj.2012.19.03.1506,World Applied Sciences, vol. 19, no. 3, (2012), pp. 404-412, ISSN 1818-4952; IDOSI Publications.
  3. Shamik Sural, Sakti Pramanik, 2002. Segmentation and Histogram generation using the HSV color space for Image Retrieval , IEEE IC IP.
  4. Deepak John, 2014. Content Based Image Retrieval using HSV-Color Histogram and GLCM , International Journal of Advance Research in Computer Science and Management Studies Volume 2, Issue 1.
  5. K. Haridas, 2014 .Well-Organized Content based Image Retrieval System in RGB Color Histogram, Tamura Texture and Gabor Feature, International Journal of Advanced Research in Computer and Communication Engineering Volume 3, Issue 10 .
  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.
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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-04-30

Issue

Volume 3, Issue 2, March-April-2017

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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.