Object Based Image Retrieval from a Repository
Laxmidevi Noolvi1, M V Sudhamani2

1Laxmidevi Noolvi, Department of CSE, RNSIT, Bangalore (Karnataka), India.

2Dr. M V Sudhamani, ISE, RNSIT, Bangalore (Karnataka), India.

Manuscript received on 06 December 2019 | Revised Manuscript received on 14 December 2019 | Manuscript Published on 31 December 2019 | PP: 550-554 | Volume-9 Issue-2S December 2019 | Retrieval Number: B10491292S19/2019©BEIESP | DOI: 10.35940/ijitee.B1049.1292S19

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© 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: Today is a digital world. Due to the increase in imaging system, digital storage capacity and internetworking technology Content Based Retrieval of Images (CBIR) has become a vibrant research spot. The CBIR systems helps user to browse and retrieve similar kind of images from huge databases and World Wide Web. The Object based Image Retrieval (OBIR) Systems are the extension to the CBIR technique where it retrieves the similar images based on the object properties. So far massive amount of work has been done in this field of research. A plenty of the techniques and algorithms are published in the different papers. This paper provides brief survey on basic and recent approaches and techniques explained in different papers.

Keywords: CBIR, OBIR, Features, Semantic Gap, Similarity Measures.
Scope of the Article: Image Security