A State of Art on Content Based Image Retrievalsystems
V. Elizabeth Jesi1, S. Govindarajan2, M. Jayanthi3
1V. Elizabeth Jesi, Assistant Professor, Department of IT, SRM Institute of Science & Technology, India.
2Dr. S. Govindarajan, Professor, Department of EDP, SRM Institute of Science & Technology, India.
3M. Jayanthi, Assistant Professor, Department of IT, SRM Institute of Science & Technology, India.
Manuscript received on 03 July 2019 | Revised Manuscript received on 13 August 2019 | Manuscript Published on 27 August 2019 | PP: 297-301 | Volume-8 Issue-2S4 July 2019 | Retrieval Number: B10560782S419/2019©BEIESP | DOI: 10.35940/ijrte.B1056.0782S419
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The digital image data is quick expanding in capacity and heterogeneity. The customary information retrieval approaches are cannot fulfill the client’s need, so there isneed to present a proficient framework for Content Based Image Retrieval(CBIR). The CBIR is an appealing wellspring of precise and quick retrieval. CBIR goes for discovering imagedatabases for explicit images that are like a given query image dependent on its features.In this paper the methodology of content based image retrieval are examined, investigated and thought about. Here, the different image substance, for example, colour, texture and shape features are mined by utilizing differentfeature extraction procedures, and furthermore extraordinary distance measures, Relevance Feedback (RF) and indexing methods are used to improve the execution of the CBIR system.The existing exploration strategies are talked about with their benefits and negative marks, so the further research works can be focused more.
Keywords: Content Based Image Retrieval (CBIR), Feature Extraction, Similarity Measurement and Relevance Feedback (RF).
Scope of the Article: Image Security