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Reseach Article

Comparative Analysis of Speckle Noise Reducing Algorithms with Various Novelties

Published on January 2013 by R. Suganya, P. Shalini, S. Rajaram
Amrita International Conference of Women in Computing - 2013
Foundation of Computer Science USA
AICWIC - Number 4
January 2013
Authors: R. Suganya, P. Shalini, S. Rajaram
646fb111-2bb5-425a-aae5-9ecf713bc854

R. Suganya, P. Shalini, S. Rajaram . Comparative Analysis of Speckle Noise Reducing Algorithms with Various Novelties. Amrita International Conference of Women in Computing - 2013. AICWIC, 4 (January 2013), 19-22.

@article{
author = { R. Suganya, P. Shalini, S. Rajaram },
title = { Comparative Analysis of Speckle Noise Reducing Algorithms with Various Novelties },
journal = { Amrita International Conference of Women in Computing - 2013 },
issue_date = { January 2013 },
volume = { AICWIC },
number = { 4 },
month = { January },
year = { 2013 },
issn = 0975-8887,
pages = { 19-22 },
numpages = 4,
url = { /proceedings/aicwic/number4/9884-1326/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Amrita International Conference of Women in Computing - 2013
%A R. Suganya
%A P. Shalini
%A S. Rajaram
%T Comparative Analysis of Speckle Noise Reducing Algorithms with Various Novelties
%J Amrita International Conference of Women in Computing - 2013
%@ 0975-8887
%V AICWIC
%N 4
%P 19-22
%D 2013
%I International Journal of Computer Applications
Abstract

This work provides the knowledge about adaptive and anisotropic diffusion techniques for speckle noise removal from various types of ultrasonic liver images. A comparative study is made based on the performance of various algorithm such as anisotropic, speckle reducing anisotropic diffusion algorithm(SRAD), Laplacian pyramid non-linear diffusion (LPND) with various filters like Gaussian, Sobel, Average, Disk, Unsharp and log. Finally a fused algorithm is developed which performs all the filtering techniques on the input image and the statistical parameters are calculated for the output images obtained from all the filters.

References
  1. Zhang, F. , Yoo, Y. M. , Koh, L. M. , & Kim, Y. 2007. Nonlinear diffusion in laplacian pyramid domain for ultrasonic speckle reduction. Medical Imaging, IEEE Transactions on, 26(2), 200-211.
  2. Hope, T. , Gregson, P. , Linney, N. , & Schmidt, M. 2004, Augus). Ultrasonic tissue characterization as a predictor of white matter damage: results of a preliminary study. In Ultrasonics Symposium, 2004 IEEE (Vol. 3, pp. 2157-2160). IEEE.
  3. Burt, P. , & Adelson, E. 1983. The Laplacian pyramid as a compact image code. Communications, IEEE Transactions on, 31(4), 532-540.
  4. Yu, J. , Tan, J. , & Wang, Y. 2010. Ultrasound speckle reduction by a SUSAN-controlled anisotropic diffusion method. Pattern Recognition, 43(9), 3083-3092.
  5. Arun, K. S. , Huang, T. S. , & Blostein, S. D. 1987. Least-squares fitting of two 3-D point sets. Pattern Analysis and Machine Intelligence, IEEE Transactions on, (5), 698-700.
  6. San diego. F 2 006. Robust registration of 3-D ultrasound images based on Gabor filter and mean-shift method. Computer vision and mathematical methods in medical and biomedical image analysis, 3117, 304–316.
  7. Djemal, K. 2005, September. Speckle reduction in ultrasound images by minimization of total variation. In Image Processing, 2005. ICIP 2005. IEEE International Conference on (Vol. 3, pp. III-357). IEEE.
  8. Acton, S. T. 2005, September. Deconvolutional speckle reducing anisotropic diffusion. In Image Processing, 2005. ICIP 2005. IEEE International Conference on (Vol. 1, pp. I-5). IEEE.
  9. Tyna Hope, Peter Gregson, Norma LinneyAnd Matthias Schmidt. 2009. Ultrasonic Tissue Characterization As A Predictor Of White Matter Damage: Results Of A Preliminary Study. IEEE International Ultrasonic, Ferroelectrics, And Frequency Control Joint 50th Anniversary Conference.
  10. Yu, Y. , Molloy, J. A. , & Acton, S. T. 2004, June. Generalized speckle reducing anisotropic diffusion for ultrasound imagery. In Computer-Based Medical Systems, 2004. CBMS 2004. Proceedings. 17th IEEE Symposium on(pp. 279-284). IEEE.
  11. Zhou Wang, Alan Conrad Bovik, Hamid Rahim Sheikh and Eero P. Simoncelli,"Image Quality Assessment: From Error Visibility to Structural Similarity", IEEE Transactions on Image Processing, vol. 13, pages: 600-612. 2007.
  12. Mastriani, M. , & Giraldez, A. 2004. Enhanced directional smoothing algorithm for edge-preserving smoothing of synthetic-aperture radar images. Journal of Measurement Science Review, 4(3), 1-11.
Index Terms

Computer Science
Information Sciences

Keywords

Speckle Noise Ultrasonic Srad Lpnd