Survey on Content Based Image Retrieval
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 5, May 2014

Survey on Content Based Image Retrieval

Mehak Garg, Jyoti Rani

In the present scenario image retrieval plays an essential role. CBIR aims at finding image databases for specific images that are similar to a given query image based on its features. Users can query example images based on these features such as texture; color; shape; region and others. Target or close Images can be retrieved in a little fast if it is clustered in a right manner. For clustering; we use fuzzy- c mean. In this way relevant images will be retrieved from database.

Keywords: content based image retrieval, RGB components, Texture, Auto-correlation

Edition: Volume 3 Issue 5, May 2014

Pages: 862 - 866

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How to Cite this Article?

Mehak Garg, Jyoti Rani, "Survey on Content Based Image Retrieval", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=18051402, Volume 3 Issue 5, May 2014, 862 - 866

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Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 5, May 2014

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Survey on Content Based Image Retrieval

Mehak Garg, Jyoti Rani

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