Segmentation of tumor tissue in gray medical images using watershed transformation method

Abstract

The new imaging techniques for organic body tissue give more details and information about the normal and abnormal tissue that help to distinguish the overlapping in margin of each organ. In this paper a new method of tumor line detection and segmentation is used to separate the abnormal from the normal surrounding tissue to get a real identification of involved and noninvolved area that help the surgeon to distinguish the involved area precisely. The method used in this paper is watershed method and image processing by using MatLab 7.1 to detect the tumor boundaries in MRI and CT image for different cases. Our result in this study is very clear for physician to distinguish the area of tumor for surgical planning.