Abstract：In the process of image segmentation, the selection of seed points of traditional region growing method requires artificial judgement, which will increase the workload and decrease the work efficiency. In order to reduce the amount of user interaction in the selection of seed points, this paper puts forward an improved region growing algorithm based on the prediction of the seed point locations. According to the representative characteristics of vascular skeleton lines, the location of hepatic ducts in the image can be predicted by the mapping transformation of the coordinate, which will reduce the manual participation and ascertain the number and locations of seed points in the image automatically. The ideal segmentation results of a liver image indicate that the algorithm can accomplish the prediction of seed points with less user interaction.
李杰，陈国栋. 基于改进区域生长算法的肝脏管道图像分割方法[J]. 中国医疗设备, 2014, 29(10): 19-23.
LI Jie, CHEN Guo-dong. A Segmentation Method for Liver Vessel Images Based on Improved Region Growing Algorithm. China Medical Devices, 2014, 29(10): 19-23.
