Speckle Reduction with Edge Preservation in B-Scan Breast Ultrasound Images

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Madan Lal 1,* Lakhwinder Kaur 1 Savita Gupta 2

1. Department of Computer Engineering, Punjabi University, Patiala. India.

2. Department of Computer Science & Engineering, Punjab University, Chandigarh. India

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2016.09.08

Received: 27 May 2016 / Revised: 6 Jul. 2016 / Accepted: 10 Aug. 2016 / Published: 8 Sep. 2016

Index Terms

Speckle Noise, Smoothing, Edge preservation, Breast Ultrasound (BUS) image


Speckle is a multiplicative noise that degrades the quality of ultrasound images and its presence makes the visual inspection difficult. In addition, it limits the professional application of image processing techniques such as automatic lesion segmentation. So speckle reduction is an essential step before further processing of ultrasonic images. Numerous techniques have been developed to preserve the edges while reducing speckle noise, but these filters avoid smoothing near the edges to preserve fine details. The objective of this work is to suggest a new technique that enhances B-Scan breast ultrasound images by increasing the speckle reduction capability of an edge sensitive filter. In the proposed technique a local statics based filter is applied in the non homogeneous regions, to the output of an edge preserving filter and an edge map is used to retain the original edges. Experiments are conducted using synthetic test image and real time ultrasound images. The effectiveness of the proposed technique is evaluated qualitatively by experts and quantitatively in terms of various quality metrics. Results indicate that proposed method can reduce more noise and simultaneously preserve important diagnostic edge information in breast ultrasound images. 

Cite This Paper

Madan Lal, Lakhwinder Kaur, Savita Gupta,"Speckle Reduction with Edge Preservation in B-Scan Breast Ultrasound Images", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.8, No.9, pp.60-68, 2016. DOI: 10.5815/ijigsp.2016.09.08


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