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Secure and Image Retrieval based on Multipurpose Watermarking for Mammography Images Database

by H.ouahi, M.el Hajji, K.afdel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 90 - Number 14
Year of Publication: 2014
Authors: H.ouahi, M.el Hajji, K.afdel
10.5120/15789-4536

H.ouahi, M.el Hajji, K.afdel . Secure and Image Retrieval based on Multipurpose Watermarking for Mammography Images Database. International Journal of Computer Applications. 90, 14 ( March 2014), 27-32. DOI=10.5120/15789-4536

@article{ 10.5120/15789-4536,
author = { H.ouahi, M.el Hajji, K.afdel },
title = { Secure and Image Retrieval based on Multipurpose Watermarking for Mammography Images Database },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 90 },
number = { 14 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 27-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume90/number14/15789-4536/ },
doi = { 10.5120/15789-4536 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:11:03.213986+05:30
%A H.ouahi
%A M.el Hajji
%A K.afdel
%T Secure and Image Retrieval based on Multipurpose Watermarking for Mammography Images Database
%J International Journal of Computer Applications
%@ 0975-8887
%V 90
%N 14
%P 27-32
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the cancerology domain, we were brought to make periodic mammography images to monitor tumor patients. Oracle Database Management system (DBMS) is a solution to manage these images with patient's data recorder. Knowing the large size of medical images of mammograms, the Oracle DBMS saves these images outside the Oracle database using external LOBs. The link between these images and Oracle is done through the BFILE. At this level, two problems are raised: the first problem is that access to these images can become impossible because the link is likely to be broken. The second problem is security, the fact that the images are saved outside the Oracle database, they do not benefit from its powerful security. The protection of the integrity and confidentiality of data and patient images are a necessity defended by laws and they must be preserved against any unauthorized access, alteration or destruction. In this paper, we propose the method of reversible watermarking technique based on the difference expansion to resolve these two problems and explore its use in search and retrieval strategy of images.

References
  1. D. Abraham Chandy and J. Stanly Johnson. Selection of Haralick Texture Features using an Evolutionary Algorithm for Content-based Mammogram Retrieval. 17-24 European Journal of Scientific Research Volume 86 Issue 1 September, 2012
  2. Florea FI, Rogozan A, Bensrhair A and Darmoni SJ. Medical image retrieval by content and keyword in a on-line health-catalogue context, Proc. Mirage 2005 : 229-36.
  3. J. J. K. Ó Ruanaidh, W. J. Dowling and F. M. Boland, "Phase watermarking of digital images," Proceedings of the IEEE International Conference on Image Processing, Lausanne, Switzerland, Sept. 16-19, 1996, vol. 3, pp. 239-242.
  4. J. Tian, "High capacity reversible data embedding and content authentication," in IEEE Proceedings of International Conference on Acoustics, Speech, and Signal Processing, vol. 3, pp. III–517–20, Hong Kong, Apr. 2003.
  5. J. Tian, "Reversible data embedding using a difference expansion," IEEE Transactions on Circuits Systems and Video Technology, vol. 13, no. 8, pp. 890–896, Aug. 2003.
  6. Le Thi Lan (Marter en 2004). Indexation et recherche d'images par le contenu, 114 pages.
  7. M. U. Celik, G. Sharma, A. M. Tekalp, and E. Saber, "Reversible data hiding," in Proceedings of the International Conference on Image Processing, pp. 157–160, NY, USA, Sept. 2002.
  8. M. El Hajji, H. Ouahi, K. Afdel, H. Douzi Multiple Watermark for Authentication and Tamper Detection using Mixed scales DWT . International Journal of Computer Applications (0975 – 8887) Volume 28– No. 6, August 2011
  9. Muller, H. , Muller, W. , Squire, D. M. , Marchand-Maillet, S. , Pun, T. , 2005. "Performance evaluation in content-based image retrieval: Overview and proposals", Pattern Recognition Letters, 22(5), pp. 593–601.
  10. Niblack W. et al. The QBIC Project: Querying Images by Content Using Color, Texture, and Shape. SPIE Int. Symp. on Electronic Imaging: Science and Technology Conf. 1908, Storage and Retrieval for Image and Video Databases, 1993.
  11. O. Sinnen. "The Application of the Fast Fourier Transform to the Watermarking of Digital Images", Studienarbeit (scientific work), Department of Electronic and Electrical Engineering, Dublin University, Trinity College, Ireland, December 1995.
  12. Qin, X. and Y. H. Yang, Similarity measure and learning with gray level aura matrices (GLAM) for texture image retrieval, ICVPR, pp. 326-333, 2004.
  13. Sebe, N. and M. S. Lew, Texture features for content based retrieval, in Principles of Visual Information Retrieval, M. S. Lew (ed. ), Springer, Ch. 3, pp. 51-85, 2001.
  14. The Mammographic Image Analysis Society http://peipa. essex. ac. uk/info/mias. html.
  15. Y. I. KHAMLICHI, Y. ZAZ, M. MACHKOUR and K. AFDEL Authentication system for medical watermarked content based image WSEAS TRANSACTIONS ON SIGNAL PROCESSING 826 Issue, Vol 2, May 2006 ISSN: 1790-5022.
Index Terms

Computer Science
Information Sciences

Keywords

Reversible Watermarking BFILE external LOBs Oracle image extraction texture Security and mammograms images.

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