资源列表
KPCAPORL
- 是一个很好的用于人脸识别的程序，人脸数据库是ORL，用的是KPCA方法，可以直接运行，分类识别率较高。-Is a good procedure for face recognition, face database ORL, with the KPCA method, you can run directly on classification of higher recognition rate.
PCAPLDA
- 这是一个很好的人脸识别的程序，首先用PCA降维，然后用LDA方法进行分类，用的是ORL人脸库。-This is a good face recognition program, the first PCA dimension reduction, classification, and then using the LDA method, use the ORL face database.
Histogram-equalization
- 数字图像处理，直方图均衡函数，MATLAB语言实现-Digital image processing, histogram equalization function, the MATLAB language
vtkPlearning-material
- vtk 学习资料（包括二维图像处理和三维体绘系列），不错的学习资料-the vtk learning materials (including two-dimensional image processing and three-dimensional body painting series), and a good learning materials
vtk
- vtk中文资料，vtk是一种可视化接口，VTK是基于OpenGL的封装-the vtk Chinese information, vtk is a visual interface, VTK, OpenGL-based package
Bilinear-Image-Rescaling
- Bilinear Image Rescaling Rescales raw image data using bilinear interpolation. The image data must be provided as a MxN matrix or as a MxNx3 matrix (for RGB image data). The new image size of width W and height H may be specified. -Bilinear Imag
medianfilt
- Its median filter/ MATLAB function for implementing median filtering of an image. Add salt and pepper noise to it. Apply the median filtering to the resulting image. Compare the results.
Blur
- GAUSSIANBLUR blur the image with a gaussian kernel GI = gaussianBlur(I,s) I is the image, s is the standard deviation of the gaussian kernel, and GI is the gaussian blurred image.
Interpolation
- Example for the usage of function interp2 Bicubic smoothing of an image - Example for the usage of function interp2 Bicubic smoothing of an image
Gaussian-filter
- Gaussian Filter with example The functions used in the main.m file Function d2gauss.m: This function returns a 2D Gaussian filter with size n1*n2 theta is the angle that the filter rotated counter clockwise and sigma1 and sigma2 are the
high-pass-fiter
- HIGHT PASS FILTER. For opencv 2.3.1
big
- 图像处理,能够很好的恢复一副受干扰的医学图像-image processing