搜索资源列表
retinalsegmentation
- 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
program
- 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
MSLTA
- 论文：一种新的分割视网膜血管的方法（MSLTA）-retina vessel segmentation
fundus-image-segemention
- 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
stare
- 基于匹配滤波响应局部门限处理的视网膜血管分割。文档中包括文章及VC下的试验源代码。-Locating Blood Vessels in Retinal Images by Piecewise Threshold Probing of a Matched Filter Response。The article and its source code in VC.
VesslExtract
- 在Matlab平台编写的一个子程序，通过主程序进行调用后，可实现眼底彩色图像的视网膜血管提取。-This program extracts blood vessels from a retina image using Kirsch s Templates. Spatial Filtering of the input retina image is done with the Kirsch s Templates in different orientations. Followed
VesselTest
- 视网膜图像中血管的提取和检测，高斯滤波器模板匹配法提取血管，然后进行血管剔除-Retinal image of blood vessels in the extraction and detection, gaussian filter template matching method to extract the blood vessels, and blood vessels
GaborVessel
- 利用gabor滤波器方法提取视网膜血管，在提取之前进行预处理。gabor滤波器参数选择的是3个角度，12个方向-Gabor filter method is utilized to extract the retinal blood vessels, preprocessing before extraction. Gabor filter parameter selection are three angles, 12 direction
Hessian
- 基于海森矩阵的视网膜图像血管增强，用到特征值-Retinal vascular image enhancement based on hazen matrix, use characteristic value
Gabor_GLM_FEX
- 视网膜血管检测的Gabor变换和机器学习，教程 本教程将演示如何Gabor变换和广义 的线性模型（GLM）可用于视网膜血管检测 图像。 ，我们将尝试检测视网膜血管从 的训练图像，首先，Gabor滤波器与图像卷积。 GLM将使用Gabor变换的图像特征确定 （独立变量）和容器的位置 为结果（因变量）。- Retinal Vessel Detection by Gabor Transform and Machine Learning, a Tutorial T
Blood_Vessel_Extraction
- 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)