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Mammogram image with Wiener filter and CLAHE | ||
| Journal of Al-Qadisiyah for Computer Science and Mathematics | ||
| Article 1, Volume 9, Issue 2, 2017, Pages 97-102 PDF (0 K) | ||
| Authors | ||
| Thekra Abbas; M.Nafea Jafaar | ||
| Abstract | ||
| Many of the women in worlds die because of breast cancer and early detection will save the lives of many women. A mammogram is a special medical image in the breast. The mammogram image contains artifacts and wedge. In this paper the mammogram image enhances by applied the Wiener filter to remove noise and apply Contrast Limited Adaptive Histogram Equitation (CLAHE) to improve a quality of mammogram image. Before applying them made number step to remove artifacts and wedge, background and pectoral muscle these know. The result indicted obtain mammogram image only breast profile, with a nice smooth, safe edge, and high quality. These results prove that effective and convenient assistance for medical diagnosis. Hence, the proposed method definitely can be considered for automated detection of abnormality like benign, malignant and micro calcifications. | ||
| Keywords | ||
| Breast Cancer; Contrast Limited Adaptive Histogram Equitation; mammogram; wiener filter | ||
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