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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 5, ISSUE 4, APRIL 2016

Survey on Content Based Image Retrieval Techniques

Payal dhiman, Yamini sood

DOI: 10.17148/IJARCCE.2016.54197

Abstract: In the present state image retrieval plays a dynamic character. The turf of image retrieval has been a dynamic research zone for numerous eras and has been rewarded more and more devotion in current years as a outcome of the theatrical and wild increase in the tome of digital images. CBIR purposes at verdict image database for exact images that are alike to a given query image based on its features. Users can question sample images based on these features such as texture, color, region, shape and others. Mark or nearby Images can be regained in a slight fast if it is clustered in a correct way. For gathering, we use fuzzy- c mean clustering. In this system related images will be retrieved from database.



Keywords: Content based image retrieval, Auto-correlation, RGB components, Query, retrieval design, image mining.

How to Cite:

[1] Payal dhiman, Yamini sood, “Survey on Content Based Image Retrieval Techniques,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.54197