Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Reference :

  1. [1] Pingkun yan, Ashraf A.Kassim “Medical Image Segmentation using minimal path Deformable Models with Implicit Shape Priors,” IEEE Trans. Information technology vol.10, No.4, October 2006.

    [2] R.L.Joshi, H.Jafarkhani, “comparison of different methods of classification sub band coding of images “, IEEE trans. Image .PROCESS VOL.6, NO.11, PP.1473-1486,.

    [3] D.LIU,D.CHEN “ latent layout analysis for discovering objects inn images”, IEEE ICPR, vol.2, pp 468- 471, Aug 2006.

    [4] D.M.Levin, and C.A.Pellizzani „retrespective geometric correlation of MR,CT AND Pet images‟rediology,‟ vol.169, pp 817-823, 1988.

    [5] T.S.YOO, insight into imnges:Principles and practice for segmentation, registration and image analysis, Wellesley ma, a.k.peters,2004.

    [6] G.Vallathan, Dr.K.Jayanti‟ Region based Image Compression based on Textural Properties in MRI Images for Telemedicine Application” Conf Proc IEEE Eng Med Biol Soc. 2005;4:3779-84.

    [7] M.Lavanya, M.Suresh Kumar „Medical image compression using region-of-interest vector quantization” International Journal of Emerging Technology and Advanced Engineering Journal, Volume 3, Special Issue 1, January 2013) International Conference on Information Systems and Computing (ICISC-2013),

    [8] M. Cheriet, J. N. Said, and C. Y. Suen, “A recursive thresholding techniquefor image segmentation,” IEEE Transactions on Image Processing, vol. 7, no. 6, pp. 918-921, 1998.

    [9] S. K. Warfield, K. Michael, F. A. Jolesz, and K. Ron, “Adaptive, template moderated, spatially varying statistical classification,” Medical Image Analysis, vol. 4, no. 1, pp. 43-55, 2000.

    [10] M. Lalonde, M. Beaulieu, and L. Gagnon, “Fast and robust optic disc Detection using pyramidal decomposition and Hausdorff-based template matching,” IEEE Transactions on Medical Imaging, vol. 21, no. 11, pp. 1193-1200, 2001.

    [11] Y. Seunghwan, and P. Rae-Hong, “Red-eye detection and correction using inpainting in digital photographs,” IEEE Transactions on Consumer Electronics, vol. 55, no. 3, pp. 1006-1014, 2009.

    [12] N. A. Mat-Isa, M. Y. Mashor, and N. H. Othman, “Automatic seed based region growing for pap smear image segmentation,” in Kuala Lumpur International Conference on Biomedical Engineering. 2002. Kuala Lumpur, Malaysia.

    [13] J. K. Paik, Y. C. Park, and S. W. Park, “An edge detection approach to digital image stabilization based on tristate adaptive linear neurons,” IEEE Transactions on Consumer Electronics, vol. 37, no. 3, pp. 521-530, 1991.

    [14] Y. Siyoung, K. Donghyung, and J. Jechang, “Fine edge-preserving deinterlacing algorithm for progressive display,” IEEE Transactions on Consumer Electronics,vol. 53, no. 3, pp. 1654-1662, 2009.

    [15] X. Yang, Z. Weidong, C. Yufei, and F. Xin., “Image segmentation with a fuzzy clustering algorithm based on Ant-Tree,” Signal Processing, vol. 88, no. 10, pp. 2453- 2462, 2008.

    [16] DOUKAS C and Kalogiannis “region of interest coding technique for medicl image compression” IEEE ENG.MED.BIO.MAG29-35.

    [17] Ujjwal MauliK”Medical Image Segmentation Using Genetic Algorithms “IEEE applied to fractal image compression‟ Arpn Journal Of Engineering And Applied Sciences Vol.4 Feb-2009.


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