资源列表
OpenGlPopencv
- 该程序实现了在opencv2.1+vs2008环境下的，在控制台下现实的出口用opengl画虚拟物体，用来做增强现实有关的研究很有用。-The program implements the virtual objects in the console under the export of reality with opengl painting opencv2.1+ vs2008 environment used for augmented reality research is useful
ImageRead
- ImageRead.java 图片浏览器，通过JLabel加载图片，实现菜单栏/按钮打开图片，循环浏览图片 程序主界面，把所有图像分割算法用图像界面展示出来-Picture Viewer to load the image JLabel menu bar/button to open the picture, to cycle through pictures The main program interface, all image segmentation algor
kpca_toy
- 基于KPCA的人脸识别 程序功能：先对人脸图像训练样本进行训练，然后给出人脸图像的测试样本能进行人脸识别。-Based on KPCA face recognition The program features: the training sample of face images for training, then given the test samples of face images for face recognition.
Scribble
- 一个简单的用mfc框架开发的简易画图软件，主要运用了document/view 框架开发，这是学习完深入浅出mfc后同步完成的代码。希望对大家有帮助-Mfc framework for the development of a simple easy drawing software, the main use of the document/view framework for development, which is completing the layman mfc code synch
sin
- 教你如何使用VB编写sin程序，画出sin图像，且语句正规，占用内存少-to teach you how to print sin by VB
ArcGIS-Engine-10
- AE学习的资料，有兴趣的可以下来看看，对新手很有帮助-AE learning the information, who are interested can look down and help the novice
image
- 实现图像的相关处理，有滤波器的处理及其相关-image deal image deal
3D-Engine-Ex
- 3d图形编程，是用vb，vc#+AE开发的，几个简单程序，-3d graphics programming, vb, vc#+ AE, a few simple procedures,
pujianfa
- 实现谱减法，很实用，有四种图形显示，带颜色的，可以直接调用，需要voicebox工具包-o achieve spectral subtraction, it is practical, four graphic display, with color, you can directly call, you need the voicebox toolkit
greenmask
- 提取原始图像的green分量，并保存为图像01-3.bmp- get the green mask of specified area of images. "tt" is the original picture and "rr" is the mask one after user s specify.
gongyu-guanlixitong
- matlab程序语言，图像增强算法的代码- Function [U, minv, SS] = Nonlinear_Diffusion (U_0, tau, eps, p, T, theta, sigma, fig_handle) Performs nonlinear scalar valued and coupled vector/matrix valued diffusion Inputs: U_0 nxmx dxw input field: D = 1, w
vlfeat-0.9.13
- SIFT特徵點的尋找及對應，該作者還有附上教學網站-searching and matching of SIFT feature points, the editor has his tutorial published on web