MEDICAL IMAGES AUTHENTICATION THROUGH
WATERMARKING PRESERVING ROI
S. Rathi, and V. Inamdar. Health Informatics - An International Journal (HIIJ), 01 (01):
27-42(August 2012)
Abstract
Telemedicine is a well-known application where enormous amount of medical data need to be securely transferred over the public network and manipulate effectively. Medical image watermarking is an appropriate method used for enhancing security and authentication of medical data, which is crucial and used for further diagnosis and reference. This project focuses on the study of medical image watermarking methods for protecting and authenticating medical data. Additionally, it covers algorithm for application of water marking technique on Region of Non Interest (RONI) of the medical image
preserving Region of Interest (ROI). The medical images can be transferred securely by embedding watermarks in RONI allowing verification of the legitimate changes at the receiving end without affecting ROI. Segmentation plays an important role in medical image processing for separating the ROI from medical image. The proposed system separate the ROI from medical image by GUI based approach, which works for all types of medical images. The experimental results show the satisfactory performance
of the system to authenticate the medical images preserving ROI.
%0 Journal Article
%1 rathihealth
%A Rathi, Sonika C.
%A Inamdar, Vandana S.
%D 2012
%J Health Informatics - An International Journal (HIIJ)
%K Medical confidentiality
%N 01
%P 27-42
%T MEDICAL IMAGES AUTHENTICATION THROUGH
WATERMARKING PRESERVING ROI
%U http://airccse.org/journal/hiij/papers/1112hiij04.pdf
%V 01
%X Telemedicine is a well-known application where enormous amount of medical data need to be securely transferred over the public network and manipulate effectively. Medical image watermarking is an appropriate method used for enhancing security and authentication of medical data, which is crucial and used for further diagnosis and reference. This project focuses on the study of medical image watermarking methods for protecting and authenticating medical data. Additionally, it covers algorithm for application of water marking technique on Region of Non Interest (RONI) of the medical image
preserving Region of Interest (ROI). The medical images can be transferred securely by embedding watermarks in RONI allowing verification of the legitimate changes at the receiving end without affecting ROI. Segmentation plays an important role in medical image processing for separating the ROI from medical image. The proposed system separate the ROI from medical image by GUI based approach, which works for all types of medical images. The experimental results show the satisfactory performance
of the system to authenticate the medical images preserving ROI.
@article{rathihealth,
abstract = {Telemedicine is a well-known application where enormous amount of medical data need to be securely transferred over the public network and manipulate effectively. Medical image watermarking is an appropriate method used for enhancing security and authentication of medical data, which is crucial and used for further diagnosis and reference. This project focuses on the study of medical image watermarking methods for protecting and authenticating medical data. Additionally, it covers algorithm for application of water marking technique on Region of Non Interest (RONI) of the medical image
preserving Region of Interest (ROI). The medical images can be transferred securely by embedding watermarks in RONI allowing verification of the legitimate changes at the receiving end without affecting ROI. Segmentation plays an important role in medical image processing for separating the ROI from medical image. The proposed system separate the ROI from medical image by GUI based approach, which works for all types of medical images. The experimental results show the satisfactory performance
of the system to authenticate the medical images preserving ROI.
},
added-at = {2018-12-06T10:46:44.000+0100},
author = {Rathi, Sonika C. and Inamdar, Vandana S.},
biburl = {https://www.bibsonomy.org/bibtex/2e91de2b613bea897c544023489d1201a/jeffrenna},
interhash = {bb6ec55bc644d38b5f010aec4dcc6a2f},
intrahash = {e91de2b613bea897c544023489d1201a},
issn = {2319 - 2046 (Online); 2319 - 3190 (Print)},
journal = {Health Informatics - An International Journal (HIIJ)},
keywords = {Medical confidentiality},
month = aug,
number = 01,
pages = {27-42},
timestamp = {2018-12-15T07:39:58.000+0100},
title = {MEDICAL IMAGES AUTHENTICATION THROUGH
WATERMARKING PRESERVING ROI},
url = {http://airccse.org/journal/hiij/papers/1112hiij04.pdf},
volume = 01,
year = 2012
}