| 摘要: |
| 对图像分割进行了研究,这是医学图像处理中的关键问题之一。提出了一种结合Fast Marching算法和Watershed 变换的医学图像分割方法。首先用非线扩散滤波对原始图像进行平滑，然后利用Watershed算法对图像进行过度分割，最后用改进的Fast Marching方法对图像进行分割。除此之外，根据区域之间的统计特性的相似度重新定义了Fast Marching 方法的速度函数。实验结果表明，该方法能够快速、准确地得到医学图像的分割结果。 |
| 关键词: 水平集 Fast Marching方法 图像分割 医学图像 Watershed变换 |
| DOI： |
| 分类号: |
| 基金项目:国家自然科学基金资助项目(60071002;60072007;69931010;60172057) |
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| Medical Image Segmentation Based on Level Set Method |
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ZHU Fu-ping,TIAN Jie,LIN Yao,GE Xing-fei
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| Abstract: |
| This paper focuses on the image segmentation, which is one of the key problems in medical image processing. A medical image segmentation method is proposed based on the combination of fast marching method and watershed transformation. First, the original image is smoothed by using nonlinear diffusion filter. Then the smoothed image is over-segmented by the watershed algorithm. Finally, the image is segmented automatically by using the modified fast marching method. Moreover, the speed function is defined based on the staristiical similarity degree of the regions.Experimental results show that the algorithm can obtanin segmentation result of medical image fast and accurately. |
| Key words: level set fast marching method image segmentation medical image watershed transform |
