VC prepared by the PCA and the LBP

是采用伪随机编码结构光照明主动视觉技术,用编码结构光照明被测场景，实现动态三维场景的重建-Is a pseudo-random coding structure using active vision lighting techniques, using coded structured light illumination measured scene, dynamic three-dimensional scene reconstruction

学习mfc的好资料，对学习mfc很有帮助，能够很容易查询要点疑难-Learning mfc good information on the study mfc helpful can easily check points Difficult

sift的c++算法，不是基于opencv的，我自己没有看懂。-sift the c++ algorithm, is not based on the opencv, as I do not understand.

数字识别 我初学者 希望能大家喜欢我上传得-digital identification beginners I hope everyone likes me in behind the upload

基于c++BUILD的图像噪声处理，有各种滤波法去除各种噪声，还有添加各种噪声的方法-Based on c++ BUILD deal of image noise, there are a variety of filtering method to remove all kinds of noise, there are ways to add a variety of noise

This packet contains the MATLAB files that fit a hidden Markov tree model to the contourlet coefficients of images. The files require the contourlet Toolbox, which can be downloaded from http://www.programsalon.com/downloads121/sourcecode/graph/detail516305.html.

本程序实现了基于内容的图像检索功能,也就是说如何根据图像的内容从多媒体数据库中索引或发现匹配的图像,所用的方法是傅立叶变换,小波变换等技术.-the program content-based image retrieval functions, in other words how images from the multimedia database indexing or find matching images, the methodology used is the Fourier transform, wavelet technology.

KPCA主要在图像去噪声方面有应用。此外还可以进行特征提取，降维使用 -KPCA major noise in the image to have the application. In addition can also be used for feature extraction, dimensionality reduction using

边界跟踪程序，可以跟踪闭合的边界和非闭合的边界。读者可以根据自己需要存储其跟踪方向以及跟踪路径。-Boundary tracking program, you can track the closed borders and the non-closed borders. Readers can track the direction of their own need to store and track the path.

各种基本图像处理功能：1、格式转换：将RAW格式转换成BMP格式；2、线性变换；3、图像平滑；4、图像增强；5、边缘检测：梯度算子，Robert梯度算子，Prewitt算子，Laplacian算子，Sobel算子，Marr算子；6、直方图显示；7、形态运算（二值化、腐蚀、膨胀、开运算、闭运算）；8、自动分类及类别提取：K均值分类。其中：1.2.3.4.5.7仅能对灰度图处理，6.8不仅能处理灰度图还能处理彩色图-Basic image processing functions: 1, format: RAW format will be converted to BMP format 2, linear transformation 3, image smoothing 4, image enhancement 5, Edge Detection: Gradient Operator, Robert gradient operator, Prewitt operator, Laplacian operator, Sobel operator, Marr operator 6, histogram display 7, computing forms (two-value, corrosion, swelling, open computing, closing operation) 8, automatic classification and type of extract: K-means classification. One of: 1.2.3.4.5.7 only treatment for grayscale, 6.8 can not only deal with deal with grayscale color map