Abstract
This paper describes several grayscale image processing and segmentation algorithms that play important roles in medical image analysis. First, we describe grayscale image processing techniques including smoothing and local feature extraction. Second, we introduce several image segmentation frameworks including active contour models such as snakes and level set, graph cuts, and atlas-based method. We also refer to the techniques to incorporate some anatomical knowledge into each of the segmentation methods.
