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Mammogram Images Enhancement using Adaptive Morphological Bilateral Filter
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 179 - Number 27 |
| Year of Publication: 2018 |
| Authors: Roa I. Suliman, Zeinab A. Mustafa, Banazier A. Ibraheem |
10.5120/ijca2018916613
|
Roa I. Suliman, Zeinab A. Mustafa, Banazier A. Ibraheem . Mammogram Images Enhancement using Adaptive Morphological Bilateral Filter. International Journal of Computer Applications. 179, 27 ( Mar 2018), 45-50. DOI=10.5120/ijca2018916613
Abstract
Noise, poor image contrast, in homogeneity, weak boundaries and special marks existing in the mammogram images makes diagnosis procedure extremely difficult, so there are needs for a way to denoise those images while preserving their important features. The Adaptive bilateral filter sharpens an image by increasing the slope of the edges without producing overshoot or undershoot. Morphological operations such as dilation, erosion, opening and closing with appropriate structure element size are offering a quality Sharpening enhancement. The performance of the filter was improved by including the mathematical morphology operations along with adaptive bilateral filter process. The parameters of the Adaptive bilateral filter are optimized with an iterative algorithm. The proposed method was applied for mammogram images. The performance analysis of the filter with respective design parameters and metrics are compared with existed algorithm the results were judged by three metrics; mean square error (MSE), structure similarity index (SSIM) and peak signal to noise ratio (PSNR).
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