Analysis of Watermarking Techniques for Medical Images Preserving ROI

[1]  M.S. Bouhlel,et al.  A Secure fragile Watermarking Algorithm for medical Image Authentication in the DCT Domain , 2006, 2006 2nd International Conference on Information & Communication Technologies.

[2]  Timothy F. Cootes,et al.  Statistical models of appearance for medical image analysis and computer vision , 2001, SPIE Medical Imaging.

[3]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[4]  D Marr,et al.  Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[5]  Changsheng Xu,et al.  Web-based Image Authentication Using Invisible Fragile Watermark , 2001, VIP.

[6]  Bülent Sankur,et al.  Survey over image thresholding techniques and quantitative performance evaluation , 2004, J. Electronic Imaging.

[7]  Jong-An Park,et al.  Efficient Liver Segmentation Based on the Spine , 2004, ADVIS.

[8]  Daw-Tung Lin,et al.  Computer-aided kidney segmentation on abdominal CT images , 2006, IEEE Transactions on Information Technology in Biomedicine.

[9]  P. Civicioglu,et al.  CCII based analog circuit for the edge detection of MRI images , 2003, 2003 46th Midwest Symposium on Circuits and Systems.

[10]  Akiyoshi Wakatani,et al.  Digital watermarking for ROI medical images by using compressed signature image , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[11]  Dong-Chul Park,et al.  Intuitive fuzzy c-means algorithm , 2009, 2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

[12]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  João Manuel R. S. Tavares,et al.  A Review on the Current Segmentation Algorithms for Medical Images , 2009, IMAGAPP.

[14]  Benoit M. Dawant,et al.  Automatic 3D segmentation of the liver from abdominal CT images: a level-set approach , 2001, SPIE Medical Imaging.

[15]  Cemal Kose,et al.  Comparing 2D matched filter response and Gabor filter methods for vessel segmentation in retinal images , 2010, National Conference on Electrical, Electronics and Computer Engineering.

[16]  James M. Keller,et al.  A possibilistic approach to clustering , 1993, IEEE Trans. Fuzzy Syst..

[17]  Parvaneh Saeedi,et al.  A Model-Based Validation Scheme for Organ Segmentation in CT Scan Volumes , 2011, IEEE Transactions on Biomedical Engineering.

[18]  R.-C. Raul,et al.  Data Hiding Scheme for Medical Images , 2007, 17th International Conference on Electronics, Communications and Computers (CONIELECOMP'07).

[19]  Renu Vig,et al.  Role of Segmentation in Medical Imaging: A Comparative Study , 2011 .

[20]  L. Schwartz,et al.  Automatic detection of small lung nodules on CT utilizing a local density maximum algorithm , 2003, Journal of applied clinical medical physics.

[21]  James M. Keller,et al.  A possibilistic fuzzy c-means clustering algorithm , 2005, IEEE Transactions on Fuzzy Systems.

[22]  Hamid Soltanian-Zadeh,et al.  Unsupervised MRI segmentation with spatial connectivity , 2002, SPIE Medical Imaging.