| 快速有效的全局和局部能量驱动的活动轮廓模型 |
| |
| 引用本文： | 段立涛.快速有效的全局和局部能量驱动的活动轮廓模型[J].重庆工商大学学报(自然科学版),2013,30(2):26-30. |
| |
| 作者姓名： | 段立涛 |
| |
| 作者单位： | 重庆大学数学与统计学院,重庆,401331 |
| |
| 基金项目： | 中央高校基本科研业务费资助 |
| |
| 摘 要： | 由全局和局部拟合能量驱动的活动轮廓模型(LGIF模型)对活动轮廓的初始化和噪声不敏感,且能够分割灰度不均匀图像;但是该模型的演化方程在每次迭代中需要进行多次高斯卷积,使得分割速度非常慢;基于这一缺点提出了一个新的模型;实验表明:该模型不仅能够分割灰度不均匀图像,而且分割效率优于LGIF模型。
|
| 关 键 词： | 图像分割 活动轮廓模型 LGIF模型 |
Fast and Efficient Active Contours Driven by Local and Global Intensity Fitting Energy |
| |
| DUAN Li-tao.Fast and Efficient Active Contours Driven by Local and Global Intensity Fitting Energy[J].Journal of Chongqing Technology and Business University:Natural Science Edition,2013,30(2):26-30. |
| |
| Authors: | DUAN Li-tao |
| |
| Institution: | DUAN Li-tao(College of Mathematics and Statistics,Chongqing University,Chongqing 401331,China) |
| |
| Abstract: | Active contours driven by local and global intensity fitting energy(LGIF model) is much less sensitive to the initialization of the contours and noise,and it can address the segmentation of images with intensity inhomogeneity.However,the evolution equation of this model needs many Gaussian convolutions per iteration,which make the segmentation speed extremets show that the model is not only able to deal with intensity inhomogeneity,but also the segementation efficiency is more effiicient than LGIF model. |
| |
| Keywords: | image segmentation active contours model LGIF model |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《重庆工商大学学报(自然科学版)》浏览原始摘要信息 |
| 点击此处可从《重庆工商大学学报(自然科学版)》下载免费的PDF全文 |
