摘要
等周算法用于图像分割时存在迭代效率低的缺陷。提出一种新的双势阱策略,该策略采用度最大和度最小的图结点共同作为接地点,提高了线性方程的求解效率;同时用添加随机边的方法缩短图直径,减少了共轭梯度法的迭代量,进一步提高了算法的收敛速度。仿真实验结果表明,新算法提高等周算法迭代效率达20%以上。
Isoperimetric algorithm has the defect of low iterative efficiency when applied in image segmentation,so a new double-well strategy is proposed.In this strategy the image nodes of maximum degree and minimum degree are both used as the ground point,this improves the solution efficiency of linear equation;meanwhile,the method of adding random edges is introduced to shorten the graph diameter,so the numbers of iterations for conjugate gradient method is reduced,as a result the rate of convergence is further improved.Simulating experimental result shows,this new algorithm can efficiently raise the iteration efficiency of isoperimetric algorithm up to 20% or higher.
出处
《计算机应用与软件》
CSCD
北大核心
2013年第4期275-278,共4页
Computer Applications and Software
关键词
图像分割
图论
等周算法
双势阱
随机边
Image segmentation Graph theory Isoperimetric algorithm Double well Random edges