搜索资源列表
snake
- 介绍活动轮廓模型的原理，根据作者原创论文编写的matlab程序。-Introduces the principle of active contour model, according to the author of the original paper writing in matlab.
regionbased_seg
- 使用活动轮廓模型对图详进行分割，并附上一个从avi视屏中提取图像的一个小程序-Segmentation, active contour model diagram details a small program to extract images from avi screen with a
g_visual
- 本程序是实现对一个分段表达的测地线活动轮廓模型的边缘函数的可视化显示1.计算分段边缘函数2.显示输出可视化图像 -This program is a visual display to achieve the function of the edge of a piecewise expression of the geodesic active contour model calculation segmented edge function display output visualiz
GVFSnake
- 对活动轮廓模型有较为详细描述，可以作为学习入门教程，在对模型提出梯度流的改进，在对图像边缘检测！-Aetiveeontourmodel， gradientvectoroow， eontourextraction，graPh eut， watershedtransform
CV-Active-contour-model
- 实现论文 Active Contours without Edges 中提出的CV活动轮廓模型，用于分割图像。-To achieve paper Active Contours without Edges, in the CV active contour model for image segmentation.
GAC_Matlab
- G测地活动轮廓模型的代码，是基于图像的梯度信息进行处理的，属于水平集范畴-Measured the active contour model code is based on the gradient of the image information processing, belonging to the scope of the level set
myGUIcontour
- 用户GUImatlab软件，画活动轮廓的，挺好用的-User GUI software, the painting of the active contour, very good use
livewire_windows
- 画活动轮廓线的实用可执行文件，可用于手工画闭合轮廓曲线-Painting active contour line utility executable file that can be used hand-painted closed contour curves
ContoursDetection
- 该程序利用opencv实现了活动轮廓的检测，检测效果很精确-The program utilizes opencv active contour detection very precise detection effect
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
main
- 首先载入一幅图像，然后对其进行活动轮廓模型分割。-First, load an image, then its active contour model segmentation.
level-set
- 这是基于活动轮廓模型的水平集图像分割算法，函数比较全，值得参考-This is the level set image segmentation algorithm based on active contour model, the functions are full, which is worthy to read
LiGAC
- Li等人提出了一种无须重新初始化的水平集演化方法，更准确的说，可以称为距离保持的水平集演化。它针对于传统的水平集曲线演化理论的缺点，提出了一种新的几何活动轮廓的变分方法-Li put forward a kind of need to initialize level set evolution method, more accurately, can maintain the level set evolution of called distance. It in view of the s
boneseg
- 源码用在骨骼边缘提取，特别是对手腕骨的边缘提取中，利用了改进的活动轮廓模型，达到了对边缘的精确提取 -failed to translate
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.
sfm_chanvese_demo
- 关于chan-vese活动轮廓提取 matlab与visual c++结合的可以实现 非常好的提取活动轮廓 但是对于道路还需要手动更改-About chan-vese active contour extraction matlab and visual c++ combination can achieve very good way to extract the active contour but also need to manually change
meng_cv
- chan-vese几何活动轮廓提取 讲物体的裂痕非常精准的提取出来 非常经典的并且最新的代码 可供参考 -chan-vese geometric active contour extraction rift speak very precise object extracted from a very classic and the latest code for reference
classical-image-segmentation-
- 图像处理中经典的C-V（无边缘活动轮廓）模型和GAR（测地线活动区域）模型！- classic CV ( active contour without edge ) model and GAR (geodesic active region) model in Image processing!
GAC_upwind
- 这是一种通过检测图像的边界来对图像进行分割的算法，测地活动轮廓模型，迎风格式-This is an algorithm that segment an image by detecting the edge of the image, geodesic active contour model， up wind format
AC_without_edges
- 一种通过活动轮廓的方法实现的图像分割方法-an image segmentation method realized by active contour model