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.
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.
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
guss
- 【高斯核函数改进 参考价值1】LBF活动轮廓模型的改进.pdf【高斯核函数的改进 参考价值5】单核和多核相关向量机的比较研究.pdf-[Gaussian kernel improved reference value 1] .pdf LBF improved active contour models comparative study [.pdf Gaussian kernel improvements reference 5] si
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
7899327improve_LBF
- 基于梯度的图像分割，可以精准定位，效果较一般的阈值，速度较快(Gradient based image segmentation can be precise positioning, the effect is more than the general threshold, faster)
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)
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)