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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 [4]
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
Edition: Volume 3 Issue 5, May 2014,
Pages: 862 - 866
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Comparative Studies, Computer Science & Engineering, India, Volume 6 Issue 2, February 2017
Pages: 2147 - 2150A Comparative Study of Algorithms used for Detection and Classification of Plant Diseases
Roshni C.R | Dr. M. Safish Mary
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M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 5, May 2015
Pages: 2623 - 2626A Novel Image Searching/Retrieving Approach using Sample Image and Text
Apurva S. Gomashe [2] | R. R. Keole [3]