资源列表
semi-supervised-SSSVM
- matlab实现的SSSVM（半监督SVM算法）-matlab achieve SSSVM (semi-supervised SVM algorithm)
NSCT
- 彩色图像融合 NSCT 实现红外与可见光图像融合-Color image fusion NSCT realize infrared and visible image fusion
RGB_Criminisi
- Criminisi算法修复彩色图像，详细的程序，可以直接运行。-Criminisi algorithm for RGB images
super-resolution-Regularization-
- 本程序包括了三个程序，L1范数正则化，L2范数正则化，Tikhonov正则化超分辨率重建。经反复测试，没有BUG。-The program includes three procedures, L1 norm regularization, L2 norm regularization, Tikhonov regularization super-resolution reconstruction. After repeated testing, no BUG.
Radom-Forest[ok]
- 随机森林Matlab代码并附有使用说明，用于图像分类处理-Matlab code of Random Forest
HIO-algorithm
- 使用HIO算法实图像现相位恢复，包含源代码，简单实用，适于初学者学习。-HIO algorithm using real image recovery phase now, including source code, simple and practical, suitable for beginners to learn.
DPGMMMRI-segmentation
- 基于狄利克雷过程的无限高斯混合模型的脑医学MRI图像分割-Dirichlet process mixture model Brain MRI image segmentation algorithm
FLICM
- 基于局部信息的模糊C均值聚类算法（FLICM），是在FCM聚类算法的基础上结合了图像的邻域信息，有更好的鲁棒性。-Fuzzy C-means clustering algorithm based on local information (FLICM), is a combination of neighborhood information image on the basis of FCM clustering algorithm has better robustness.
SML
- 数字图像处理SML算法实现，程序挺实用用的Matlab供大家参考(两种算法）-SML digital image processing algorithm, the program very practical use of Matlab for your reference (two methods)
ct_ART_SIRT_MART
- 简单易用，运行一个M文件即可，有说明说； 测试数据程序生成； 含投影数据成成，投影矩阵生成等。 ART/CT/MART/SIRT/ 感谢我师兄，为我师兄原创-Previously provided by the source, a lot of people will not react with, and contact me, So I put it into an m file, so you can simply run this file you can s
boundary-extraction
- 基于点云数据的模型边界提取程序，包含测试数据，从其他地方下载转发，完全可以运行。-Based on point cloud data model boundary extraction procedure, contains the test data, download forwarded other places, can run.
Fractal-dimension-(FD)-calculation
- 采用盒计数法对三维表面进行分形维数分析，用分形维数表征物体表面纹理-The box counting method is used to analyze the fractal dimension of the three-dimensional surface, and the fractal dimension is used to characterize the surface texture of the object.