Breast cancer remains the important reason of death among woman in the world. Early detection is essential to improve breast cancer diagnosis. Mammography is the reliable and best existing tool for investigation of breast cancer in its early stage. Understanding the mass region information of cancerous lesions in a mammogram is important for detection of the tumor region and its segmentation. In this paper, Maximum Mean and Least Variance method and Otsu method is implemented and then compared the results to find the suitable technique among them for detection and segmentation of tumor region.

Breast cancer detection, Mammograms, Smoothing, Segmentation, Enhancement, Masses, Microcalcification

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