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LBF_v0.1
- 用水平集和形态学结合的方法分割图像，主要用于对比度低的医学图像，效果较好
LBF_v0.1
- 用水平集和形态学结合的方法分割图像，主要用于对比度低的医学图像，效果较好-Using level set and morphological segmentation with the method of combining images, mainly for low-contrast medical images, better
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 brightnes
LBF_v0.1
- Implicit active contour by local binary fitting energy
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 advant
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
LBF_v0.1
- 李纯明教授最新方法LBF法，运行效果很好。-designed by LCM
LBF_v0.1
- For morphological segmentation it works
LBF_v0
- Chunming Li基于水平集的多相分割算法，速度非常快-Chunming Li multiphase segmentation algorithm based on the level set speed is very fast