Content base Image Retrieval by using Bayesian Algorithm to Improve the Quality on the Bases of Color, Texture and Density

Ekta Thakur
Ekta Thakur
Ekta Rajput
Ekta Rajput
Hardeep Singh Kang
Hardeep Singh Kang
RIMT-IET Mandigobindgar Punjab

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Content base Image Retrieval by using Bayesian Algorithm to Improve the Quality on the Bases of Color, Texture and Density

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Abstract

Content Based Image Retrieval in Medical (CBIRM) a technique for retrieving image on the basis of automatically derived features such as color, texture and shape to index images with minimal human intervention. This document is based on the research work done in the field of Content based image retrieval. Color, texture and shape information have been the primitive image descriptors in content based image retrieval systems CBIRM consists of retrieving the most visually similar images to a given query image from a database of medical images Various algorithm are define in CBIR but we can use Bayesian algorithm to reduce the noise from an image.

References

8 Cites in Article
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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

Ekta Thakur. 1970. \u201cContent base Image Retrieval by using Bayesian Algorithm to Improve the Quality on the Bases of Color, Texture and Density\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F7).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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en
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Content base Image Retrieval by using Bayesian Algorithm to Improve the Quality on the Bases of Color, Texture and Density

Ekta Rajput
Ekta Rajput
Hardeep Singh Kang
Hardeep Singh Kang

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