Impulse Noise Removal in Mammograms using Bi-Dimensional Empirical Mode Decomposition and Fast Adaptive Bilateral Filter
Sannasi Chakravarthy S R1, Harikumar Rajaguru2
1Sannasi Chakravarthy S R, Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathya mangalam, India.
2Harikumar Rajaguru, Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India.
Manuscript received on 12 March 2019 | Revised Manuscript received on 19 March 2019 | Manuscript published on 30 July 2019 | PP: 674-678 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1685078219/19©BEIESP | DOI: 10.35940/ijrte.B1685.078219
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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: The work aims to detect and correct the noisy mammogram images corrupted by impulse noise. This is achieved in two phases – identification of noise-affected pixels and renovation of those pixels in an image. The pixels which are disturbed by impulse noise are identified by Bi-dimensional Empirical Mode Decomposition (Bid-EMD). The restoration of these pixels and noise removal are done by fast adaptive bilateral filter (fABF). The proposed work for impulse noise removal is examined on digital mammogram images of Digital Database for Screening Mammography (DDSM) database. The proposed approach is compared with other existing state-of-the-art schemes using peak signal to noise ratio (PSNR) and image enhancement factor (IEF) performance measures. The study of performance of the proposed scheme provides enhanced outcome than the other algorithms used for impulse noise removal.
Index Terms: Breast Cancer, Empirical, Fast Bilateral, Impulse Noise, Malignant, Mammogram.
Scope of the Article: Adaptive Systems