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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.
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).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 102
Country: India
Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision
Authors: Ekta Rajput, Hardeep Singh Kang (PhD/Dr. count: 0)
View Count (all-time): 251
Total Views (Real + Logic): 25179
Total Downloads (simulated): 11042
Publish Date: 1970 01, Thu
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This study aims to comprehensively analyse the complex interplay between
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