An adaptive weighted denoising filter framework for impulse and shot noise: a mammogram image applications
by A. Ramya; D. Murugan; T.I. Manish; T. Ganesh Kumar
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 34, No. 4, 2020

Abstract: The breast screening contraption has not yet became an effective diagnosis method for the detection of abnormalities. This is mainly due to the physical interference from the screening system; these tribulations usually develop a noise due to electric charge and also occur due to photon counting in optical screening machine. This work focuses on denoising the mammogram breast image to a greater extends with two-step process. In the first phase, mammogram image dataset is subjected to neural network to detect the corrupted image from non-noisy images by using different feature set. Then, average weighted of four different filters such as geometric-mean (GM) filter, decision-based median (DBM) filter, directional weighted median (DWM) filter and frost filter is applied to impulse and shot noise pixels, to preserve its corrupted edges and to avoid smoothing out of details. Additionally, this combined filter is subjected to exponential transformation to yield the enhanced output. The proposed filter is applied to these two noises and compared with existing filters with respective quality factors such as peak to signal noise ratio (PSNR) and mean absolute error (MAE). The outcome result shows that the proposed methods yield promising than the existing filters for mammogram images.

Online publication date: Fri, 15-Jan-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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:

Username:        Password:          Forgotten your 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