Hongzhe Yang

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This paper presents a novel liver segmentation method based on the fast marching and graph cuts methods. The algorithm is composed of three main steps: first, rough edge of the liver is extracted from the CT image by fast marching method. Second, hard constrain of the foreground and background which is used for initial calculation of graph cut is obtained(More)
This paper presents a novel image segmentation method in which energy function is based on global region information while not only on edge information. Image segmentation can be viewed as a routing problem. In order to obtain the optimal segmentation, the Shortest Path Faster Algorithm (SPFA) is used to optimize the discrete grid energy function. As the(More)
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