文件名称:tuxiangfenggesuanfa
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人工干预使蛇模型只能用于半自动的图像分割,该文在梯度向量流(GVF)蛇模型的基础上提出一种基于流场节点与最小路径方法
的全自动图像分割算法。在图像的GVF 场上检测出流场节点,以节点为种子,采用多标记快速扫描法获得一个初始分割,采用区域合并
得到最终分割结果。实验结果证明了该算法的鲁棒性和有效性。-Manual intervention to make the snake model can only be used for semi-automatic image segmentation, the text in the gradient vector flow (GVF) snake model based on the flow field based on the node with the smallest path method of automatic image segmentation algorithm. GVF field in the images to detect the flow field in node to node for the seeds, the use of many markers rapid scanning method to obtain an initial segmentation, the use of regional segmentation results eventually be merged. The experimental results show that the algorithm robustness and effectiveness.
的全自动图像分割算法。在图像的GVF 场上检测出流场节点,以节点为种子,采用多标记快速扫描法获得一个初始分割,采用区域合并
得到最终分割结果。实验结果证明了该算法的鲁棒性和有效性。-Manual intervention to make the snake model can only be used for semi-automatic image segmentation, the text in the gradient vector flow (GVF) snake model based on the flow field based on the node with the smallest path method of automatic image segmentation algorithm. GVF field in the images to detect the flow field in node to node for the seeds, the use of many markers rapid scanning method to obtain an initial segmentation, the use of regional segmentation results eventually be merged. The experimental results show that the algorithm robustness and effectiveness.
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