Abstract: Mammogram breast cancer images have the ability to assist physicians in detecting disease caused by cells normal growth. Developing algorithms and software to analyze these images may also assist physicians in there daily work. This study that shows the outcome of applying image processing threshold, edge-based and watershed segmentation on mammogram breast cancer image and also presents a case study between them based on time consuming and simplicity.