资源列表
Demo_ContourletSD_Operator
- 文章Iterative thresholding compressed sensing MRI based on contourlet transform, Inverse Problems in Science and Engineering及其代码。-Demo for using contourlet as an operator.
EMTP
- EMTP: Expectation conditinal Maximazation either Thresholding Pursuit Coded by Heping Song
processing_pic
- 完成对于图像的DCT变换反变换，FFT变换反变换，动态模糊，加噪声去噪声等等，配有图形界面，功能强大-For complete image DCT transform inverse transform, FFT transform inverse transform, as well as some dynamic blurring function, and with a graphical interface
blobtrack
- opencv自带的跟踪框架程序，方便开发者开发出能够自动检测前景、目标跟踪的算法程序-Opencv own tracking framework application, convenient and developers to develop to be able to automatically detect prospects, the algorithm of target tracking application
avchatdirectshow
- 基于陆其明老师avchat的修改，实现网络视频聊天功能，希望对各位有用-Lu Qiming based teacher avchat changes, network video chat, hope that useful
different-choice
- 建立MFC工程，实现不同字体大小选择功能，供初学者学习和参考，内容比较基础-Establish the MFC project, implement different font size selection function, for beginners learning and reference, that is basic
tuxiangbianhuan
- 在matlab上将图像从空间域变换到频率域，主要包括Radon变换和反变换、傅里叶变换和反变换、离散余弦变换和反变换等-In matlab image will be transformed the spatial domain to the frequency domain, including the Radon transform and inverse transform, Fourier transform and inverse transform, the discrete co
PCAP-matlab
- PCA人脸识别算法，详细原理，相关算法，程序。非常有用，值得初学者学习。-PCA face recognition algorithm, detailed principles related algorithms, procedures. Very useful, it is worth beginners to learn.
mouseEvenDemo
- openFlight API编程，通过捕捉视图中鼠标的坐标位置，利用捕获到的坐标信息绘制贝塞尔曲线。-OpenFlight API programming, by capturing the coordinates of the mouse position, in the view using the capture of Bessel curve drawing coordinate information.
VectorConfidenceConnected
- vtk的球与刺球的例子, 对于初学者十分有用，希望帮助大家-the example of vtk hope help you
vtklittlephere
- vtk的实现例子，包含代码，对于初学者帮助很大，希望对大家有帮助-the example of vtk
TrainPatches
- 图像分类时由于扩展数据的各种函数,getRotatePatchOnOriImg_debug,main2_ex6Ps-When the image classification, due to the expansion program of positive and negative sample data sets, flip the image, the image center point to take 1,0.9,0.8 times the side length patch bloc