GRAY LEVEL CO-OCCURRENCE MATRIX APPLICATION IN DETECTION OF ABNORMALITIES ON MAMMOGRAMS

Abstract

According to statistics at K hospital the rate of Vietnamese women having breast cancer is increasing and breast cancer is the most common type of cancer among women. Early detection of breast cancer plays an important role in the treatment and cure for patients. This paper has suggested a certain method for edge extraction in digitalized mammograms, especially in detecting microcalcifications and masses. This method applies spatial gray level co-occurrence matrices. The application of GLCM provides a new method of boudary extraction. When applied to mammograms, it gives satisfactory results. A medical image processing software is built based on this algorithm to help doctors in the analysis of mammographic images, diagnosis and detection of breast cancer. The software is still being researched and developed and will be packed into a perfect product to aid in breast cancer diagnosis at hospitals and in study as well.