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Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
Home Archives Volume 5 Issue 6 ijcatr05061006

IJCATR Volume 5 Issue 6

Features Analysis In CBIR Systems

Poonam Bhatia Anand Neetu Bhatia
10.7753/IJCATR0506.1006
keywords : Image retrieval, Content based image retrieval, CBIR techniques, Systems and features.

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Image retrieval is the major innovations in the development of images. Mining of images is used to mine latest information from the general collection of images. CBIR is the latest method in which our target images is to be extracted on the basis of specific features of the specified image. The image can be retrieved in fast if it is clustered in an accurate and structured manner. In this paper, we have the combined the theories of CBIR and analysis of features of CBIR systems.
@artical{p562016ijcatr05061006,
Title = "Features Analysis In CBIR Systems",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="6",
Pages ="358 - 363",
Year = "2016",
Authors ="Poonam Bhatia Anand Neetu Bhatia"}
  • This paper presents analysis of features in various CBIR Systems.
  • CBIR Systems and features used by these systems are explained in this paper.
  • CBIR Model is explained in this paper.
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