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

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Ekta Thakur
Ekta Thakur
2
Ekta Rajput
Ekta Rajput
3
Hardeep Singh Kang
Hardeep Singh Kang
1 RIMT-IET Mandigobindgar Punjab

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GJCST Volume 13 Issue F7

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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.

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No external funding was declared for this work.

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The authors declare no conflict of interest.

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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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GJCST Volume 13 Issue F7
Pg. 31- 32
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Crossref Journal DOI 10.17406/gjcst

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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.

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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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