Laplacian Operator Based Level Set Segmentation Algorithm for Medical Images
Laplacian Operator Based Level Set Segmentation Algorithm for Medical Images
复制标题
基于拉普拉斯算子的医学图像水平集分割算法
DOI：
10.1109/cisp.2009.5303765
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Jionghui Jiang
中科院分区：
文献类型：
--
作者：
Hui Huang;Jionghui Jiang
针对虚拟人图像的特点，推导了基于拉普拉斯算子的水平集算法和水平集方程的解析表达式。该算法采用窄带方法数值实现。该算法结合了Laplacian算子能够准确定位边界的优点和水平集方法在图像空间中不断演化边界的思想。实验表明，该算法计算精度高，抗干扰性好，计算速度快。使用该算法可以得到很好的结果。
Considering the features of virtual human images, a Laplacian operator based Level set algorithm and the analytic expression of Level set equation is deduced. The algorithm is implemented using narrow band method numerically. The algorithm combines the advantages of Laplacian operator which can orient the boundary accurately and the idea that Level set method continuously evolves the boundary in image space. Experiments show that the algorithm calculates the result precisely with good anti-jamming property and fast computing speed. Fine results can be obtained by using this algorithm.