Security Based Brain Tumor Classification using Image Fusion

Today, the use of medical images is often complicated for diagnosis process and planning of treatment. The major challenge in image processing and fusion includes data mismatching, data storage issues and security constraints. Although several techniques are being used for image processing, they lac...

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Bibliographic Details
Published in:International journal of innovative technology and exploring engineering 2020-05, Vol.9 (7), p.1315-1318
Main Authors: Sreekrishna, M., V, Rohini, D. S, Premkumar, Sankarram, N., Gnanavel, Dr. S.
Format: Article
Language:English
Online Access:Get full text
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Summary:Today, the use of medical images is often complicated for diagnosis process and planning of treatment. The major challenge in image processing and fusion includes data mismatching, data storage issues and security constraints. Although several techniques are being used for image processing, they lack in security parameters. Our objective is to provide an efficient method for image fusion techniques along with the security paradigms. In order to provide security, encryption standards are used. The results of improved framework give better performance and quality over existing methods in terms of security, database information, and fusion factor.
ISSN:2278-3075
2278-3075
DOI:10.35940/ijitee.G5939.059720