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VOL. 9, ISSUE 4 (2023)
An analysis of Content-based image retrieval system
Authors
Gayathri V
Abstract
The multimedia content material generated by using gadgets and photo
processing strategies calls for high computation fees to retrieve images much
like the consumer’s question from the database. An annotation-based totally
traditional gadget of picture retrieval is not coherent due to the fact
pixel-smart matching of pictures brings big variations in phrases of pattern,
storage, and angle. The content material-based totally image Retrieval (CBIR)
approach is greater normally utilized in those cases. CBIR correctly quantifies
the likeness between the database photos and the query photograph. CBIR
collects photographs equal to the query photograph from a huge database and
extracts extra beneficial capabilities from the photo provided as a question
photograph. Then, it relates and fits these functions with the database photos’
functions and retakes them with comparable features. in this look at, our
proposed system outperforms other CBIR structures and can be used in many
applications that need CBIR, together with virtual libraries, ancient research,
fingerprint identity, and crime prevention.
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Pages:19-23
How to cite this article:
Gayathri V "An analysis of Content-based image retrieval system". International Journal of Research in Advanced Engineering and Technology, Vol 9, Issue 4, 2023, Pages 19-23
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