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.
Segmentation of image Image interpolation Image rocessing Medical image Distance transform
JIN-ZHU YANG TONG JIA DA-ZHE ZHAO XIN-HE XU
The Software Center of Northeastern University, Shenyang 110004,China Institute of AI and Robotics, Northeastern University, Shenyang 110004, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
3798-3802
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）