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Survey Paper | Computer Science Engineering | Volume 3 Issue 5, May 2014 | Pages: 862 - 866 | India
Survey on Content Based Image Retrieval
Abstract: 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
How to Cite?: Mehak Garg, Jyoti Rani, "Survey on Content Based Image Retrieval", Volume 3 Issue 5, May 2014, International Journal of Science and Research (IJSR), Pages: 862-866, https://www.ijsr.net/getabstract.php?paperid=18051402, DOI: https://dx.doi.org/10.21275/18051402