Open AccessMammogram image with Wiener filter and CLAHE
Author(s) -
Thekra Abbas,
M .Nafea Jafaar
Publication year - 2017
Publication title -
magallaẗ al-qādisiyyaẗ li-ʿulūm al-ḥāsibāt wa-al-riyāḍiyyāt
Language(s) - English
Resource type - Journals
eISSN - 2521-3504
pISSN - 2074-0204
DOI - 10.29304/jqcm.2017.9.2.318
Subject(s) - adaptive histogram equalization , computer vision , computer science , wiener filter , artificial intelligence , breast cancer , filter (signal processing) , image quality , areola , histogram , image (mathematics) , medicine , histogram equalization , cancer , pathology
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.