Content Based Image Retrieval by Using the Bayesian Algorithm to Improve and Reduce the Noise from an Image

Hardeep Singh kang; Ekta Rajput

Content Based Image Retrieval by Using the Bayesian Algorithm to Improve and Reduce the Noise from an Image

Hardeep Singh kang * §

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Ekta Rajput

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§ RIMT-IET College Mandi Gobindgarh

Content Based Image Retrieval by Using the Bayesian Algorithm to Improve and Reduce the Noise from an Image

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CSTU9941

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Abstract

Image retrieval system is an effective and efficient tool for managing large image databases. A content based image retrieval system allows the user to present a query image in order to retrieve images stored in the database according to their similarity to the query image. In this paper content based image retrieval method is used as diagnosis aid in medical fields. The main objectives of this paper is to reduce the noise from an medical image with the use of Bayesian algorithm .Various algorithm are define in CBIR but we can use Bayesian algorithm to reduce the noise from an image . Bayesian algorithm provide the feedback and improve the performance of an image retrieval by using the resultant MSE(mean square error) and PSNR(peak signal to noise ratio).

References

6 Cites in Article

Reference Format

Nidhi Singhai,Shishir Shandilya (2010). A Survey On: “Content Based Image Retrieval Systems”.
Linjun Yang,Bo Geng,Yang Cai,Alan Hanjalic,Xian-Sheng Hua (2011). Object Retrieval Using Visual Query Context.
Derven Zhuang,Shoujue Wang (2010). Context based image retrieval based on integrating region segmentation and relevance feedback.
Gulfishan Firdose,Ahmed,Raju Barskar,Jyoti Bharti,Nitin Singh,Rajput (2010). content base image retrieval using Fast phong Shading.
Katherine Heller,Zoubin Ghahraman (2006). A simple Bayesian framework for content based image retrieval.
Rajshree Dubey,Rajnish Choubey,Joy Bhattacharjee (2010). Multifeature Content Based Image Retrieval.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Hardeep Singh kang, Ekta Rajput. 2013. "Content Based Image Retrieval by Using the Bayesian Algorithm to Improve and Reduce the Noise from an Image". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F6).

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GJCST Volume 13 Issue F6

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

CBIR and bayesian algorithm medical informatics

Classification

GJCST-F Classification I.5.0

Submission ReceivedDecember 7, 2012
Peer Review Double Blind
Handling Editor
Accepted January 2, 2013
Published January 15, 2013

Version of record

v1.2

Issue date

August 10, 2013

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Ekta Rajput, Hardeep Singh kang (PhD/Dr. count: 0)

View Count (all-time): 367

Total Views (Real + Logic): 2125

Total Downloads (simulated): 105

Publish Date: 2013 01, Tue

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Total Views: 2.1K

Total Downloads: 105

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