搜索资源列表
levelsetLBF
- 这是李纯明博士的LBF模型，是对无需初始化的加强和改进。效果很好，速度很快。-Dr. inherit model, initialization of the need to strengthen and improve. Very effective, very fast.
LBF_result
- 用LBF的方法对图像进行分割,语言环境matlab
LBF C++语言实现
- 用C++ 语言实现了图像分割模型LBF
RSF
- 图像处理的算法，LBF
LGIF
- 这是“Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation”（简称LGIF模型）的MATLAB源代码。LGIF模型是非常重要局部区域活动轮廓模型, 它结合了CV模型和LBF模型各自的优点。-This is the "Active contours driven by local and global inten
LBF
- his package demonstrates an improved algorithm based on the local binary fitting (LBF) model
LBF_v0
- LBF(Local binary fitting)是在CV模型的基础上发展起来的一种局部化的图像分割模型。分割对象是亮度非均匀图像。缺点：初始位置较为敏感，运算复杂度高。-LBF (Local binary fitting) in the CV model is developed on the basis of a localized Image. Split object is non-uniform image brightness. Disadvantages: initial posi
LBF_v0_v0.1
- 图像分割，Minimization of Region-Scalable Fitting Energy for Image Segmentation-LBF_v0.1: This code implements an improved algorithm slightly modified from the original LBF model in the above paper. A desirable advantage of this improved version o
LBF
- 这是“Implicit Active Contours Driven by Local Binary Fitting Energy”（简称LBF模型）的MATLAB源代码。LBF模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。-This is the "Implicit Active Contours Driven by Local Binary Fitting Energy" (referred to as the LBF mod
LBF
- LBF代码，李纯明博士代码，感觉代码比较简洁可行-LBF code
LBF
- ：LBF 模型是一个著名的基于区域的活动轮廓模型。与PC（Piecewise Constant）模型不同，该模型引入了一个以高斯函数为 核函数的局部二值拟合（Local Binary Fitting，LBF）能量。因为LBF 能量能够获取图像的局部信息，所以LBF 模型解决了PC 模型 不能处理灰度不均一图像的分割问题。提出了一个改进的LBF 模型，它使用一个新的核函数代替高斯核函数-: LBF model is a well-known region-based active cont
LBF
- 由于一些图像在强度上非均匀，用C-V模型达不到分割的目的，于是提出了LBF模型，即局部二值拟合能量模型。其基本思想就是以变分形式引入一核函数来定义局部二值拟合能量，从而获得基于边界轮廓模型的局部强度信息。 -Some of the images are non-uniform in intensity, less than the split CV model, so LBF model that local binary fitting energy model. The basic id
LBF
- LBF模型,基于MATLAB环境简单的LBF模型的实现。-LBF model, the realization of the LBF model based on MATLAB is simple.
LBF
- LBF模型分割灰度不均匀的图像，对医疗图像分割效果较好-LBF model uneven grayscale image segmentation, medical image segmentation better
LBF
- 用水平集LBF的方法实现图像分割，分割效果较好-LBF level set method of image segmentation, segmentation better
lbf
- 本程序实现 李纯明 博士的local binary fitting 即LBF模型，目标函数为： 基于区域的局部能量乏函数-The program implements Dr. Li Chunming of local binary fitting That LBF model, the objective function is: lack of function is based on local energy area
LBF
- LBF(RSF)模型水平集方法实现对图像的分割，无需初始化-LBF model level set method to achieve image segmentation, without initialization
LBF
- 按照DSP课本，实现了一个低通滤波器，内有详细的介绍，可以当DSP作业验收-Implements a LBF based on DSP book, which can be treat as DSP homework
62073209snake
- snake和lbf模型是活动轮廓的主要模型，利用水平集原理，在处理医学图像上具有很好的效果，可以自适应拓扑结构的变化(The snake and LBF model is the main active contour model, using the level set principle, has the very good effect on treatment of medical image, can be adaptive topology changes)
LBF和LDF模型程序
- 基于水平集的活动轮廓模型-LBF模型和LDF模型用于图像分割(image segmentation based on active contour model)