A multi-resolution approach to denoising and enhancement of pre-cancerous features in mammograms Online publication date: Wed, 21-Jan-2015
by C. Gowri Shankar; T. Balakumaran; A. Shanmugam
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 7, No. 3, 2011
Abstract: Microcalcification is the earliest sign of breast carcinomas and their detection is the key issues for breast cancer control. The existence of noise degrades the subjective quality of image and makes the decision incorrect. A wide variety of filtering algorithms have been developed for preprocessing, but some causes unpleasant visual artifacts. Here multi-scale products are used at successive scales of Wavelet decomposition, obtained by multiplying the coefficients of successive wavelet scale. This would strengthen the significant features while weakening the noise. Testing shows that the proposed scheme better suppresses noise and enhances the objective areas than other methods.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com