搜索资源列表
ImageRegistration.rar
- 基于边缘特征的图像配准算法源码 基于边缘特征的图像配准算法是将不同时间、不同的传感器(成像设备)或不同条件下(天候、照度、摄像位置和角度等)获取的同一场景的两幅或多幅图像根据其边缘特征进行匹配、叠加的处理,最终生成一幅全景图像的方法。该方法具有抗噪性强,匹配速度快,误匹配率低,适用于多种类型的图像等优点,主要可以运用于以下领域: (1)军事研究领域,如飞行器辅助导航系绞、武器投射系统的末制导以及寻地等应用研究; (2)医学图像分析,如数字剪影血管造影DSA血管造影术、肿瘤检测、白内障检测、
sparseMRI_v0.2.tar
- 此代码用于完成MRI图像的压缩采样重建。它是论文"Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging", 2007中的源码-This is an implementation of Compressed Sensing reconstruction for MRI data. It implements the non-linear conjugate sub-gradient algorithm as
reco
- MRI 读入k空间数据调整中心并进行傅里叶变换显示图像-MRI k-space data is read into the center and adjust the display image Fourier transform
Visualize-3D-volumetric-image-data
- Display 3D volumetric data such as MRI images dynamiclly. Click on an image to change the position.
watershed
- a Method for Applying Morphological Watershed Segmentation on Brain tumor MRI Data-a Method for Applying Morphological Watershed Segmentation on Brain tumor MRI Data...
Shepp_logan_Reconstruction
- 用matab的GUIDE开发环境设计一个基于Shepp_logan模型图像的MRI 图像重建仿真平台,可以模拟K空间线性和螺旋轨迹设计,K空间数据采集过程以及均匀采样下图像重建。-This is a simulation plantform used for MRI image reconstruction based on Shepp_logan model image in the development environment of matlab GUIDE.It can simulate
MRI_lmmse
- Noise estimators for MRI data Toolbox Several methods to automatically estimate the level of noise in single- and multiple-coil MRI
MRI_data_visualization
- 可视MRI数据实验。此matlab程序用于:1. 观察二维MRI图片序列数据;2. 观察脑MRI3D和2D任意位置图片;3. 观察脑MRI顶视图片边界轮廓。-MRI data visualization experiment. Matlab program for this: 1 observation of a two-dimensional MRI image sequence data 2 to examine the brain MRI3D anywhere and 2D image
Breast-MRI
- 这是一组实验用的乳腺磁共振图像实测数据,可用于医学图像处理-This is a group of breast MRI experiment measured data can be used for medical image processing
cifti-matlab-master
- 能够对MRI数据进行功能成像,对于脑动态的检测具有重要意义(The ability to perform functional imaging on MRI data is of great significance for the detection of brain dynamics)
