An Optimized Image Retrieval approach based on Color, Shape and Texture

Authors

  • Divya Rajput P.G. Student, Department of Computer Science Engineering, Bansal Institute of Science and Technology, Bhopal, M.P., India
  • Damodar Tiwari Professor, Department of Computer Science Engineering, , Bansal Institute of Science and Technology, Bhopal, M.P., India
  • Garvita Gupta HOD, Department of Computer Science, Bansal Institute of Science and Technology, Bhopal, M.P., India

Keywords:

magazines, locate, communication, computer users

Abstract

In the last few years, more and more information has been published in computer readable formats. A huge amount of the information in older books, journals and newspapers has been digitized and made computer readable. A big record of films, music, images, satellite pictures, books, newspapers, and magazines have been made accessible for computer users. Internet communication or facilities makes it possible for the human to access this vast amount of information. The big challenge of the World Wide Web or search engines is that the more information available about a given topic, the more difficult it is to locate accurate and relevant information. All the users know what type of information they want, but they are not sure where to find it. Search engines can facilitate the ability of users to locate such relevant information.

References

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Published

31-03-2017

How to Cite

Divya Rajput, Damodar Tiwari, & Garvita Gupta. (2017). An Optimized Image Retrieval approach based on Color, Shape and Texture. International Journal for Research Publication and Seminar, 8(1), 120–140. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1001

Issue

Vol. 8 No. 1 (2017): Jan - Mar 2017

Section

Original Research Article

License

Copyright (c) 2017 International Journal for Research Publication and Seminar

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