Cross Neighbourhood Kernel Filtering for Speckle Noise Removal in Ultrasound Images
R.Vijayarajan1, S.Muttan2
1R. Vijayrajan, Research Scholar, Department of ECE, Anna University, Chennai (Tamil Nadu), India.
2Dr. S.Muttan, Professor, Department of ECE, Anna University, Chennai (Tamil Nadu), India.
Manuscript received on 18 June 2012 | Revised Manuscript received on 25 June 2012 | Manuscript published on 30 June 2012 | PP: 42-45 | Volume-1 Issue-2, June 2012 | Retrieval Number: B0199051212/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Ultrasound imaging is the most popular, non-invasive and inexpensive diagnostic tool in clinical imaging for treatment planning and therapy. Due to noise and artefacts present, pre-processing of these images is difficult which leads to poor image processing and analysis. In this paper, an improved frost filter with kernel of cross neighborhood is proposed for denoising and performance analysis for different neighborhood kernels is carried out using peak signal to noise ratio and mean square error.
Keywords: Despeckling, Frost Filter, Speckle Noise, Ultrasound.
Scope of the Article: Image Processing