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Visualization, Image Processing and Computation in Biomedicine


ISSN Online: 2162-3511

Archives: Volume 1, 2012 to Volume 2, 2013

Visualization, Image Processing and Computation in Biomedicine

DOI: 10.1615/VisualizImageProcComputatBiomed.2013005779

Application of a wavelet thresholding algorithm for contrast enhancement of mammograms

Amutha Somasundaram
Department of Computer Science, Dayananda Sagar College of Engineering, Bangalore, India
Amaresha Shridhar Konar
Medical Imaging Research Centre, Department of Computer Science, Dayananda Sagar College of Engineering, Bangalore, India
Radhakrishna Anantha Padmanabha
Department of Radiology, Sagar Hospital, Bangalore, India
Ramesh Babu D. R.
Medical Imaging Research Centre, Department of Computer Science, Dayananda Sagar College of Engineering, Bangalore, India
Sairam Geethanath
Medical Imaging Research Centre, Dayananda Sagar Institutions, S.M. Hills, Kumarswamy Layout, Bangalore-560078, India

ABSTRACT

We present a novel algorithm for enhancement and visibility of low-contrast features in breast mammograms. Contrast of mammograms is enhanced by the use of mathematical morphology and wavelet denoising with an emphasis on differentiating edge pixels from noise to enhance visible diagnostic signs like masses and microcalcifications. We present the results of our proposed method and compare it with three other contrast-enhancement algorithms based on the quantitative metrics of the contrast improvement index (CII) and the edge preservation index (EPI), as well as radiological evaluation. Our results based on these metrics indicate that our method outperforms the three other approaches. The results of the clinical evaluation are in good agreement with the comparative analyses based on CII and EPI.