Open AccessSecurity Based Brain Tumor Classification using Image Fusion
Author(s) -
M. Sreekrishna*,
V Rohini,
Puneethkumar M. S,
N. Sankarram,
Sundar Gnanavel
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.g5939.059720
Subject(s) - computer science , image fusion , encryption , image (mathematics) , process (computing) , fusion , information security , image processing , data security , artificial intelligence , data mining , computer vision , computer security , linguistics , philosophy , operating system
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.