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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 C++语言实现
- 用C++ 语言实现了图像分割模型LBF
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
- 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
LGIF
- 2007年李春明等人提出的LBF模型在处理强度不均匀的医学图像方面具有较大的优势，可是也存在不少缺陷，本程序是LBF模型的改进程序，里面有很多心德改进值得一看-Li Chunming, who in 2007 proposed the model of LBF uneven strength in medical image processing has a greater advantage, but there are many flaws, this program is to impro
LBF_v0.1
- 李纯明教授最新方法LBF法，运行效果很好。-designed by LCM
RSF-Active-contour-model.
- 实现论文 Minimization of region-scalable fitting energy for image segmentation 中提出的RSF模型，也适用于LBF模型，用于图像分割。-RSF model of the papers Minimization of region-scalable fitting energy for image The a segmentation , LBF model for image segmentation.
LBF
- LBF代码，李纯明博士代码，感觉代码比较简洁可行-LBF code
efficientLBP
- LBF分割算法 不仅考虑了图像灰度信息而且考虑了图像空间信息-LBF segmentation algorithm takes into account not only the image gray information and consider the image space information
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
local-binary-LBFmodel
- 二进制拟合分割LBF模型 用于图像分割领域 好用-LBF model for fitting binary segmentation image segmentation handy
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
- 基于局部二值拟合的水平集方法实现灰度不均匀图像的分割-Intensity inhomogeneity image segmentation based on local binary fitting model.
LGIF
- 张开华 2009年发表的文章“Activecontoursdrivenbylocalimagefittingenergy” 是对LBF的改进 是LGIF模型-Zhang Kaihua 2009 article published " Activecontoursdrivenbylocalimagefittingenergy"
LBF
- 主要讲述了主动轮廓法，其中一种经典方法。-Focuses on the active contour method, one of the classic methods.
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
- 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
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)