Chan, T. and Vese, L. (2001) Active contours without edges. IEEE Transaction on Image Processing, 10, 266- 272.
Grau, V., Mewes, A.U.J., Alcaniz, M., Kikinis, R. and Warfield, S.K. (2004) Improved watershed transform for medical image segmentation using prior information IEEE Transactions on Medical Imaging, 23(4), 447-458.
Wu, J. and Chung, A.C.S. (2007) “A segmentation model using compound Markov random fields based on a boun- dary model,” IEEE Transaction on Image Processing, 16, 241-252.
Makrogiannis, S., Economou, G., Fotopoulos, S. and Bourbakis, N.G. (2005) Segmentation of colour images using multiscale clustering and graph theoretic region synthesis. IEEE Transaction on System Man and Cybernetics, 35(2), 224-238.
Semmlow, J.L. (2004) Biosignal and biomedical image processing. CRC Press, Boca Raton.
Aja-Fern′andez, S., Martin-Fern′andez, M. and Alberola-L′opez, C. (2007) Tissue identification in ultrasound images using Rayleigh local parameter estimation. Proceedings of Bioinformatics and Bioengineering, Boston.
Wang, B. and Liu, D.C. (2008) A novel edge enhancement method for ultrasound imaging. The 2nd International Conference on Bioinformatics and Biomedical Engineering, 3, 645-649.
kermani, A., Ayatollahi, A. and Talebi, M. (2010) Segmentation medical ultrasound image based on Local histogram range image. The 3rd International Conference on BioMedical Engineering and Informatics, in Press.
Shankar, P.M. (2000) A general statistical model for ultrasonic backscattering from tissues. Ultrasonics, Ferroelectrics and Frequency Control, 47(3), 727-736.
Wagner, R.F., Smith, S.W., Sandrik, J.M. and Lopez, H. (1983) Statistics of speckle in ultrasound B-scans. IEEE Transactions on Sonics and Ultrasonics, 30(3), 156-163.
Ghofrani, S., Jahed-Motlagh, M.R. and Ayatollahi, A. (2001) An adaptive speckle suppression filter based on Nakagami distribution. Proceeding of IEEE International Conference on Trends in Communications, Bratislava, 1, 84-87.
Gonzalez, R.C. and Woods, R.E. (2002) Digital image processing. 2nd Edition, Publishing House of Electronics Industry, Beijing, 523-527.
Topiwala, P.N., Ed., (2007) Wavelet image and video compression. The Springer International Series in Engineering and Computer Science, Cambridge.
Vetterli, M. H. (1992) Wavelets and filter banks: Theory and design. IEEE Transactions on Signal Processing, 40 (9), 2207-2232.
Zhenzhu, Y., Yong, Y., Zhenxi, C. and Kongyang, Z. (2009) Study of the de-noising method based on wavelet and fractal. Second International Workshop on Computer Science and Engineering, WCSE’09, 1, 15-19.
Guo, F., Derong, T.L. and Can, Z. (2005) A new compression algorithm for medical images using wavelet transform. IEEE Conferences on Networking, Sensing and Control, Tucson.
Gupta, P.K. and Kanhirodan, R. (2006) Wavelet transform based error concealment approach for image denoising. 1st IEEE Conference on Industrial Electronics and Applications, Singapore.
Xiaojuan, L., Guangshu, H. and Shangkai, G. (1999) De- sign and implementation of a novel compression method in a tele-ultrasound system. IEEE Transactions on Information Technology in Biomedicine, 3(3), pp. 205-213.