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LevelSetMethod2_dll
- This Matlab file demomstrates a level set method based on Chunming Li s CVPR07 paper: \"Implicit Active Contours Driven By Local Binary Fitting Energy\" in Proceedings of CVPR 07 Author: Chunming Li, all rights reserved，更多源码，请登录Chunming Li个人主页：h
73462706LevelSetMethod2_dll
- C_V模型的改进算法，一种很好的图像分割模型。对于MRI图像分割效果较好。-Implicit Active Contours Driven by Local Binary Fitting Energy
LIF
- 一个新的主动轮廓模型算法，简化了传统的实现过程，性能也有所提高。相关论文(Active Contours Driven by Local Image Fitting Energy)发表在Pattern Recognition 2009上。-A new active contour model algorithm, simplifying the traditional implementation process, performance also improved. Related Paper
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
Image_Segmentation_Active_Coutour_Local_Binary_Fit
- 李纯明最新实现的局部活动轮廓模型的图像分割，比CV模型方法好很多。包含所实现的论文Minimization of Region-Scalable Fitting Energy for Image Segmentation-Li Chunming latest realization of the local active contour model for image segmentation, much better than the CV model approach. The paper
LBF_v0.1
- 关于图像边缘检测中主动轮廓模型的一个算法- This Matlab file demomstrates a level set algorithm based on Chunming Li et al s paper: "Implicit Active Contours Driven By Local Binary Fitting Energy" in Proceedings of CVPR 07
ActivecontoursdrivenbylocalGaussiandistributionfi
- Active contours driven by local Gaussian distribution fitting energy
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
ILF_09
- 局域图像局部拟合项信息的图像分割matlab 代码-image segmentation code based on image local fitting term
eigfitplane
- 三维激光扫描的点云，如果是在一个面上，用局部小邻域拟合出平面-3D laser scanning point cloud, if it is on one side, with small local neighborhood fitting plane
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
LIF
- 一种基于区域活动轮廓模型，通过引入局部的图像拟合能量来提取图像的局部信息，能够有效的额分割强度不均一的图片。较传统的水平集方法有更少的计算量-By introducing the local image fitting(LIFenergy to extract the local image information,our model is able to segment image with intensity inhomogeneities.
yasuo
- 分割点云，并通过局部拟合求取法向量，实现点云压缩-Split point cloud, and through local fitting strike normal vector of point cloud compression
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
- 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.
2007_LBF
- 李春明 2007年文章“Implicit Active Contours Driven By Local Binary Fitting Energy”的程序源码 希望对你有用！-Li Chunming 2007 article " Implicit Active Contours Driven By Local Binary Fitting Energy" program source hope useful to you!
Active-contours
- Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation
MPUTEST2
- 首先，对输入的点云模型进行八叉树分解。然后，用局部函数对八叉树节点包围球进行拟合。最后，利用加权函数构建全局隐函数，表达整个点云模型代表的曲面。 -First of all, the point cloud model to the input of the octree decomposition. Then, by fitting the octree node bounding sphere with local function. Finally, a global implicit
LGIF
- 结合CV和LBF模型，全局和局部拟合都有(Combining CV and LBF models with global and local fitting)