Segmentation process
2014
Abstract — In medical Image analysis segmentation plays an important role. Due to the noise presence in the image and the nature of the varying intensity makes segmentation process a crucial one. Some of the approaches used over this problem are region growing, watershed segmentation, global thresholding, and active contour models. Active Contour methods are widely used for the image segmentation because of the advantageous properties such as topology adaptability, and robustness to initialization. In this paper we present and demonstrate the effectiveness of some active contour models on the mammogram images where edges are weak. Finally we plan to suggest a method which is efficiently segment the mammogram images based on the result of the contour models.