基于Level Set的交互式快速分割算法

三维医学图像数据量大,并且受噪声、边界模糊等原因的影响,致使三维分割过程消耗时间较长,容易产生欠分割或过度分割。针对以上问题,提出一种基于Level Set的三维快速分割算法,采用Fast Marching获取二维分割区域,优化轮廓边界,利用直线数值微分算法（Digital Differential Analyzer,DDA）提取轮廓像素;进一步引入扫描线种子填充思想,实现医学图像的三维快速分割。实验结果表明,上述算法能够快速准确地分割出感兴趣区域。

The Three-Dimensional Fast Segmentation Algorithm Based on Level Set Method

Because of the large volume of medical image data,the impact of noise,blurred boundaries and other reasons,the three-dimensional segmentation process is time-consuming,and easily produces less or over segmentation.To solve the above problems,this paper proposes a three-dimensional fast segmentation algorithm based on Level Set,using Level Set Fast Marching Method to obtain two-dimensional segmental region,optimizing the boundary contour,using the Digital Differential Analyzer method to extract contour pixel...