A Complementary Review on Various Content Based Image Retrieval System Techniques

Authors(2) :-Dr. M Ekambaram Naidu, Ravi Kumar Chandu

In digital image processing finding or searching, an image in huge database of digital images is big task for designing more efficient image and shape matching Algorithm. In data storage and image acquisition technologies, we have to enable the creation of large image datasets. In this type, it is necessary to develop appropriate information systems to efficiently manage these collections. The common approaches use the so-called Content-Based Image Retrieval (CBIR) systems. These systems try to retrieve images similar to a user-defined specification or pattern (e.g., shape sketch, image example). In this paper, we see the different type’s techniques of content based image retrieval for different application purpose.

Authors and Affiliations

Dr. M Ekambaram Naidu
Professor, Department, CSE, SRK Institute of Technology, Vijayawada, Andhra Pradesh, India
Ravi Kumar Chandu
Research Scholar, Rayalaseema University, Kurnool, Andhra Pradesh, India

Content-Based Image Retrieval, Image Database, Image Descriptors, Indexing, Query Specification, Query Visualization, Effectiveness Measures, Colour, Texture, Shape, Semantic Retrieval, Relevance Feedback

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 938-942
Manuscript Number : CSEIT1726100
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. M Ekambaram Naidu, Ravi Kumar Chandu, "A Complementary Review on Various Content Based Image Retrieval System Techniques", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.938-942, May-June-2017.
Journal URL : http://ijsrcseit.com/CSEIT1726100

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