RONI Based Secured and Authenticated Indexing of Lung CT Images
Joint Authors
Jasmine Selvakumari Jeya, I.
Suganthi, J.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-20
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Medical images need to be transmitted with the patient’s information without altering the image data.
The present paper discusses secured indexing of lung CT image (SILI) which is a secured way of indexing the lung CT images with the patient information.
Authentication is provided using the sender’s logo information and the secret key is used for embedding the watermark into the host image.
Watermark is embedded into the region of Noninterest (RONI) of the lung CT image.
RONI is identified by segmenting the lung tissue from the CT scan image.
The experimental results show that the proposed approach is robust against unauthorized access, noise, blurring, and intensity based attacks.
American Psychological Association (APA)
Jasmine Selvakumari Jeya, I.& Suganthi, J.. 2015. RONI Based Secured and Authenticated Indexing of Lung CT Images. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1058011
Modern Language Association (MLA)
Jasmine Selvakumari Jeya, I.& Suganthi, J.. RONI Based Secured and Authenticated Indexing of Lung CT Images. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1058011
American Medical Association (AMA)
Jasmine Selvakumari Jeya, I.& Suganthi, J.. RONI Based Secured and Authenticated Indexing of Lung CT Images. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1058011
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1058011
