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Medical Image Segmentation Based on Accelerated Dijkstra Algorithm

机译:基于加速Dijkstra算法的医学图像分割

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摘要

Dijkstra Algorithm is one of the optimal path searching methods. An Accelerated Dijkstra algorithm is presented for medical image segmentation: (1) An example is used to illustrate the proposed algorithm to reduce the calculation work and increase the operating speed of the Classical Dijkstra Algorithm.(2)An Live-Wire Image Segmentation method based on this algorithm is presented to sketch the liver's contour in an abdomen image, and a morphological method is used to segment the liver image. Experimental results show that this method can run image segmentation successfully, has less interactive times than that of the manual segmentation method and run faster than the Classical Dijkstra Algorithm.
机译:Dijkstra算法是最优路径搜索方法之一。提出了一种用于医学图像分割的加速Dijkstra算法:(1)以一个实例说明该算法,减少了经典Dijkstra算法的计算量,提高了运算速度。(2)基于Live-Wire图像分割的方法该算法提出了一种在腹部图像中绘制肝脏轮廓的算法,并使用一种形态学方法对肝脏图像进行分割。实验结果表明,该方法可以成功地进行图像分割,比手动分割方法具有更少的交互时间,并且比经典Dijkstra算法运行得更快。

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