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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2015 Vol.7(5): 374-378 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2015.V7.988

Mammographic Image Enhancement Based on SWT and High Boost Filtering

Arya Devi P. S. and M. G. Mini
Abstract—A Mammogram is a competent tool in early detection of breast cancer. Image enhancement in mammographic images increases the diagnosability of abnormalities in the images. The classical image enhancement techniques are not adept to improve the diagnostic features in mammograms. The enhancement technique proposed in this paper utilizes Stationary Wavelet Transform (SWT), modulus maxima and high boost filtering. The image is decomposed using SWT and its modulus maximum is determined. A fraction of the high pass filtered image obtained as the result of SWT decomposition and modulus maxima is added to original image. The scheme is evaluated visually and objectively using measures like contrast, PSNR etc. The performance measures are evaluated for different category of images and found to be suitable to all categories of mammographic images.

Index Terms—Contrast improvement index, EMEE, mammogram, PSNR, stationary wavelet transform.

The authors are with the Department of Electronics, Model Engineering College, Kochi, Kerala, India (e-mail: aryaps@mec.ac.in, mininair@mec.ac.in).


Cite:Arya Devi P. S. and M. G. Mini, "Mammographic Image Enhancement Based on SWT and High Boost Filtering," International Journal of Computer Theory and Engineering vol. 7, no. 5, pp. 374-378, 2015.

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