The Algorithm of Nonlinear Interpolation Segmentation Based on Distance Mask

Although medical image segmentation is very important in the clinical application, how to obtain an accurate and quickly image segmentation is a difficulty to overcome because the distribution of gray is asymmetric and the number of the date is large. Basing the distance field, an algorithm of nonlinear image interpolation segmentation is presented. Algorithm adopts the cosine non-linear instead of the linear function to estimate the interpolation. In this process, the serial slices is segmented quickly and the result of the 3D reconstruction is relative accurate. The experiment shows that the algorithm can generate accurate result and can be successively applied in a 3D medical image visualization and reconstruction system