Mammogram image with Wiener filter and CLAHE
Other Title(s)
صور الماموجرام مع فلتر Wiener و CLAHE
Joint Authors
Abbas, Dhikria Haydar Ali
Jafar, Mustafa Nafi
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 9, Issue 2 (31 Dec. 2017), pp.97-102, 6 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2017-12-31
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Abbas, Dhikria Haydar Ali& Jafar, Mustafa Nafi. 2017. Mammogram image with Wiener filter and CLAHE. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 9, no. 2, pp.97-102.
https://search.emarefa.net/detail/BIM-795371
Modern Language Association (MLA)
Abbas, Dhikria Haydar Ali& Jafar, Mustafa Nafi. Mammogram image with Wiener filter and CLAHE. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 9, no. 2 (2017), pp.97-102.
https://search.emarefa.net/detail/BIM-795371
American Medical Association (AMA)
Abbas, Dhikria Haydar Ali& Jafar, Mustafa Nafi. Mammogram image with Wiener filter and CLAHE. al-Qadisiyah Journal for Computer Science and Mathematics. 2017. Vol. 9, no. 2, pp.97-102.
https://search.emarefa.net/detail/BIM-795371
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 101-102
Record ID
BIM-795371