搜索资源列表
-
4下载：
这是“An efficientlocalChan–Vesemodelforimagesegmentation”（简称LCV模型）的MATLAB源代码。LCV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 "An efficientlocalChan-Vesemodelforimagesegmentation" (referred to as the LCV model) of the MATLA
-
-
0下载：
文献 基于灰度-梯度共生矩阵的视网膜血管分割方法-Literature based on the gray- the gradient co-occurrence matrix of the retinal blood vessel segmentation method
-
-
2下载：
一种新的方法—多尺度单通道线性追踪法来分割视网膜血管-retina vessel segmentation
-
-
0下载：
论文：一种新的分割视网膜血管的方法（MSLTA）-retina vessel segmentation
-
-
2下载：
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
-
-
0下载：
用matlab自己编写的Kirsch s Templates 5*5的模板，可进行血管分割-Vessel segmentation matlab write your own Kirsch' s Templates 5* 5 template, can be
-
-
0下载：
一种基于灰度的区域灰度分割算法，主要用于视网膜血管分割-Segmentation algorithm based on gray-scale regional gray, mainly used for retinal vessel segmentation
-
-
0下载：
mlvessel is a Matlab package for
retinal vessel segmentation. The package can be used in two different
manners: through the graphical user interface or through scr ipt
invocation. Use through scr ipt invocation relies on input files and
produ
-
-
1下载：
眼底图像的识别与分割
眼底为血管瘤的识别与分割-retinal vessel recgonition and segmentation
-
-
0下载：
that arises the surface coil array.
This entropy-based method does not require classification and
robustly addresses some problems that are more severe than
those found in brain imaging, including noise, steep bias field,
sensitivity of arter
-
-
0下载：
医学图像分割是数字图像分析中的重要环节，是长期以来国内外研究的热点问题，本代码专注于血管图像领域的分割。-Medical image segmentation is an important part of digital image analysis, is a hot topic at home and abroad for a long time, this code is to focus on areas of blood vessel image segmentation metho
-
-
1下载：
视网膜血管分割的matlab版本算法，该算法分割较为细腻(Retinal blood vessel segmentation)
-
-
2下载：
这是一个用于血管分割的程序，程序中附带多幅测试图片(This is a program for vascular segmentation, with multiple test images attached to the program)
-
