References

Carevic, D. and T. Caelli, 1997. Region-based coding of color images using Karhunen-Loeve transform. Graphical Models Image Processing, 59: 27-38.
Direct Link  |  

Dony, R.D., 2001. Karhunen-Loeve Transform. In: The Transform and Data Compression Handbook, Rao, K.R. and P.C. Yip (Eds.). CRC Press, Boca Raton, Florida, USA., pp: 1-34.

Doukas, C. and I. Maglogiannis, 2007. Region of interest coding techniques for medical image compression. IEEE Eng. Med. Biol. Mag., 26: 29-35.
CrossRef  |  

England, N.H.S., 2016. Diagnostic imaging dataset statistical release. Department of Health, London, England, UK.

Fitzgibbon, A., M. Pilu and R.B. Fisher, 1999. Direct least square fitting of ellipses. IEEE. Trans. Pattern Analysis Mach. Intell., 21: 476-480.
CrossRef  |  Direct Link  |  

Gander, W., G.H. Golub and R. Strebel, 1994. Least-squares fitting of circles and ellipses. BIT. Numer. Math., 34: 558-578.
Direct Link  |  

Gokturk, S.B., C. Tomasi, B. Girod and C. Beaulieu, 2001. Medical image compression based on region of interest, with application to colon CT images. Proceedings of the 23rd Annual International Conference of the Engineering in Medicine and Biology Society, Volume 3, October 25-28, 2001, Istanbul, Turkey, pp: 2453-2456.

Hotelling, H., 1933. Analysis of a complex of statistical variables into principal components. J. Educ. Psychol., 24: 498-520.
CrossRef  |  Direct Link  |  

Karl Pearson, F.R.S., 1901. LIII. On lines and planes of closest fit to systems of points in space. Lond. Edinburgh Dublin Phil. Maga. J. Sci., 2: 559-572.
CrossRef  |  Direct Link  |  

Lim, S.T., D.F. Yap and N.A. Manap, 2014. A GUI system for region-based image compression using principal component analysis. Proceedings of the 2014 International Conference on Computational Science and Technology (ICCST), August 27-28, 2014, IEEE, Kota Kinabalu, Malaysia, ISBN:978-1-4799-3241-2, pp: 1-4.

Lim, S.T., D.F.W. Yap and N.A. Manap, 2014. Medical image compression using block-based PCA algorithm. Proceedings of the 2014 International Conference on Computer, Communications and Control Technology (I4CT), September 2-4, 2014, IEEE, Langkawi, Malaysia, ISBN:978-1-4799-4555-9, pp: 171-175.

Liu, S.X., C. Imielinska, A. Laine, W.S. Millar and E.S. Connolly el al., 2008. Asymmetry analysis in rodent cerebral ischemia models. Acad. Radiol., 15: 1181-1197.
Direct Link  |  

Manpreet, K. and V. Wasson, 2015. ROI based medical image compression for telemedicine application. Procedia Comput. Sci., 70: 579-585.
Direct Link  |  

Radha, V., 2011. A comparative study on roi-based lossy compression techniques for compressing medical image. Proceedings of the International Conference on World Congress on Engineering and Computer Science Vol. 1, October 19-21, 2011, WCECS, San Francisco, California, USA., ISBN:978-988-18210-9-6, pp: 1-6.

Radiologist, C.A.O., 2011. CAR standards for irreversible compression in digital diagnostic imaging within radiology. Canada Health Infoway, Toronto, Ontario.

Richardson, M., 2009. Principal component analysis. Master Thesis, Faculty of Natural Sciences and Engineering, University of Ljubljana, Ljubljana, Slovenia.

Rosin, P.L., 1993. A note on the least squares fitting of ellipses. Pattern Recognit. Lett., 14: 799-808.
Direct Link  |  

Schlens, J., 2014. A tutorial on principal component analysis. Master Thesis, Cornell University, Ithaca, New York, USA.

Stolevski, S., 2010. Hybrid PCA algorithm for image compression. Proceedings of the 18th International Conference on Telecommunication Forum TELFOR, November 23-25, 2010, University of Belgrade, Belgrade, Serbia, pp: 685-687.

Taur, J.S. and C.W. Tao, 1996. Medical image compression using principal component analysis. Proceedings of the International Conference on Image Processing Vol. 2, September 19-19, 1996, IEEE, Lausanne, Switzerland, ISBN:0-7803-3259-8, pp: 903-906.

Wang, R., 2012. Introduction to Orthogonal Transforms: With Applications in Data Processing and Analysis. Cambridge University Press, Cambridge, UK., ISBN:978-0-521-51688-4, Pages: 568.