Application of GLCM technique on Mammograms for Early Detection of Breast Cancer | ||
| Journal of University of Babylon | ||
| Article 1, Volume 23, Issue 2, June 2015, Pages 885-890 | ||
| Author | ||
| Jinan FadhilMahdi | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| breast cancer; Mammogram; CLAHE; texturefeatures; GLCM | ||
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