| 局部窗口动态选择的RSF模型 |
| |
| 引用本文： | 林 静,王美清.局部窗口动态选择的RSF模型[J].福州大学学报(自然科学版),2016,44(3):413-418. |
| |
| 作者姓名： | 林 静 王美清 |
| |
| 作者单位： | 福州大学数学与计算机科学学院，福建 福州 350116,福州大学数学与计算机科学学院，福建 福州 350116 |
| |
| 基金项目： | 国家自然科学基金项目（面上项目，重点项目，重大项目） |
| |
| 摘 要： | 针对PDE(partial differential equation)图像分割模型-RSF(region-scalable fitting energy)模型对初始轮廓线选择敏感问题,提出根据图像的灰度变化信息动态选择高斯核函数窗口大小的改进RSF模型.实验表明,该模型提高了RSF模型对初始轮廓线的鲁棒性.
|
| 关 键 词： | 图像分割 RSF模型 高斯核函数 边缘停止函数 |
An improved RSF model changing dynamically the size of local windows |
| |
| LIN Jing and WANG Meiqing.An improved RSF model changing dynamically the size of local windows[J].Journal of Fuzhou University(Natural Science Edition),2016,44(3):413-418. |
| |
| Authors: | LIN Jing and WANG Meiqing |
| |
| Institution: | College of Mathematics and Computer Science,Fuzhou University,Fuzhou,College of Mathematics and Computer Science,Fuzhou University,Fuzhou |
| |
| Abstract: | RSF (Region-Scalable Fitting Energy) model is a famous PDE(partial differential equation) image segmentation model, which can segment images with intensity inhomogeneity very well, but it is sensitive to initialization. To address this problem, a modified RSF model whose the window size of Gaussian kernel function to each pixel in images be selected dynamically is proposed. The window sizes of Gaussian kernel functions of the model depend on the intensity of images. The experimental results show that the proposed model allows for more robustness to initialization compared to the original RSF model. |
| |
| Keywords: | image segmentation RSF(Region-Scalable Fitting Energy)model the Gaussian kernel function edge stopping function |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《福州大学学报(自然科学版)》浏览原始摘要信息 |
| 点击此处可从《福州大学学报(自然科学版)》下载免费的PDF全文 |
