Mammogram image with Wiener filter and CLAHE

Authors

  • Thekra Abbas
  • M .Nafea Jafaar Department of Computer Science, College of Science, Almustansiriya University

DOI:

https://doi.org/10.29304/jqcm.2017.9.2.318

Keywords:

breast cancer, Contrast Limited Adaptive Histogram Equitation, mammogram, wiener filter.

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.

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Published

2017-11-20

How to Cite

Abbas, T., & .Nafea Jafaar, M. (2017). Mammogram image with Wiener filter and CLAHE. Journal of Al-Qadisiyah for Computer Science and Mathematics, 9(2), Comp Page 97 – 102. https://doi.org/10.29304/jqcm.2017.9.2.318

Issue

Section

Math Articles