An Optimized Classification using Color histogram and CNN for Content Based Image Retrieval

Authors

  • Mehta Priyanka Hemantkumar  Research Scholar, Pacific Academy of higher Education and Research University, Udaipur, Rajasthan, India
  • Dr. Ashish Adholiya  Assistant Professor of IT of Marketing, Pacific Academy of higher Education and Research University, Udaipur, Rajasthan, India

Keywords:

Image Retrieval, Color histogram, Classification technique, CNN

Abstract

Presently, in the digital globe the use of various hand-held devices, different storage devices, social networking websites and high network bandwidth have made it possible to store large number of images on the web. Since the size of image database is growing gradually, it necessitates the need of a robust image retrieval system. This need has given rise to the researches in the domain of Content Based Image Retrieval System. In this paper, color histogram is used for feature extraction. On this extracted feature, CNN classification technique is applied to retrieve relevant images from the image dataset.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-03-11

Issue

Volume 4, Issue 4, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Mehta Priyanka Hemantkumar, Dr. Ashish Adholiya, " An Optimized Classification using Color histogram and CNN for Content Based Image Retrieval, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 4, pp.127-131, March-April-2019.