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Speckle Noise Reduction in Breast Ultrasound Images for Segmentation of Region Of Interest (ROI) Using Discrete Wavelets

  • S. Amutha
  • D. R. Ramesh Babu
  • R. Mamatha
  • S. Vidhya Suman
  • M. Ravi Shankar
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)

Abstract

Ultrasound imaging is a widely used diagnostic technique for the early detection of breast diseases. However, the usefulness of ultrasound imaging is degraded by the multiplicative speckle noise. This reduces the efficiency of diagnosis by radiologists. In order to improve the efficiency of diagnosis, we propose an algorithm for speckle denoising and edge enhancement for the segmentation of ROI. The algorithm is performed in three steps. In the first step, speckle denoising is achieved through shrinkage based on local variance matrix. The second step enhances the edges based on formation of homogenous blocks. The third steps segments the object boundaries based on K-means clustering algorithm. The results of the proposed method have been compared with the well known filters. The experimental results show that the proposed algorithm has considerably improved the image quality without providing any noticeable artifact.

Keywords

Breast ultrasound Speckle noise Edge enhancement Segmentation of ROI Wavelets 

Notes

Acknowledgments

The authors would like to thank Dr. Sairam Geethanath, HOD, Department of Medical Electronics, Dayanand Sagar College of Engineering, India for his support for the development of this work.

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • S. Amutha
    • 1
  • D. R. Ramesh Babu
    • 1
  • R. Mamatha
    • 1
  • S. Vidhya Suman
    • 1
  • M. Ravi Shankar
    • 1
  1. 1.Department of Computer ScienceDayananda Sagar College of EngineeringBangaloreIndia

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