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Application of GLCM technique on Mammograms for Early Detection of Breast Cancer

Author: Jinan FadhilMahdi
Journal: Journal of University of Babylon مجلة جامعة بابل ISSN: 19920652 23128135 Year: 2015 Volume: 23 Issue: 2 Pages: 885-890
Publisher: Babylon University جامعة بابل


Breast cancer represents the second leading cause of cancer deaths in women today، and it is the most common type of cancer in women. It has become major health issue in the world. Mammography is the main test used for screening and early diagnosis. Early detection performed on X-ray mammography is the key to improve breast cancer prognosis. GLCM technique introduced by Haralick is mostly used in image processing to study the grey levels intensities present in the image, Haralick features also known as first order have been used for detection of malignant masses in breast tissue images, I have attempted firstly to obtain well known Haralick features as well as the second order GLCM features and have studied its effects in breast cancer image classification.

باستخدام التفاصيل اللازمة نتنبئ بالأسباب الممكنة لحدوث سرطان الثدي فبالرغم من تقدم التقنيات للكشف عن سرطان الثدي مبكراً يبقى الماموكرام هو الاساس وخاصتاً في الدول طور التقدم حيث تكاليفه رخيصة وغير اقتحاميه تجعلها تستعمل بشكل واسع فعال تقنيناً .ودراستنا الحالية والدراسات التمهيدية المشار لها تجعل النتائج مؤثره وفعاله من عدة عوامل وتشمل نقاوة بكسل وكذالك خطوات حسابيه والاتجاه والمسافة في هذا النوع من GI.CMS

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