with VTK and VC mixed programming method raycasting head on the body of data map...

边缘提取和轮廓跟踪算法，用visual c＋＋写的-Edge extraction and contour tracking algorithm, using visual c to write the

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.

模糊C均值聚类算法的MATLAB实现，比较经典的程序-Fuzzy C-means clustering algorithm to achieve MATLAB, compare the classic procedure

一种向CBitmap对象读取“*.bmp”文件的快捷方式。 1、建立自己的CBitmap派生类。 2、增加一个“Load from bitmap”的函数： BOOL CMyBitmap::LoadBitmap(LPCTSTR szFileName) { DeleteObject() HBITMAP hBitmap=NULL hBitmap=(HBITMAP)LoadImage(NULL,szFileName,IMAGE_BITMAP,0,0,LR_LOADFROMFILE|LR_CREATEDIBSECTION|LR_DEFAULTSIZE) return Attach(hBitmap) }-CBitmap object to a reading of "*. bmp" file shortcuts. One, to build their own CBitmap derived class. 2, add a "Load from bitmap" function : BOOL CMyBitmap : : LoadBitmap (LPCTSTR szFileName) (DeleteObje ct () HBITMAP hBitmap = NULL hBitmap = (HBITMAP) LoadImage (NULL, szFileName, IMAGE_BITMAP, 0, 0, LR_LOADFROMFILE | LR_CREATEDIBSECTION | LR_D EFAULTSIZE) return Attach (hBitmap);)

图像处理程序集，欢迎使用，希望大家继续补充-Set of image processing procedures are welcome to use, I hope you will continue to add

用VC++进行图象处理之特效显示，图象的扫描、移动等-use vc++ to display the specially good effect of the graphics process ,the scan ,moving of the graphics

MATLAB 给图像添加各种噪声：如椒盐噪声，高斯噪声、乘性噪声等等。-MATLAB add all kinds of noise to the image: If salt and pepper noise, Gaussian noise, multiplicative noise and so on.

hough 圆检测的放大，文章利用两步法进行圆检测，同时也提高了速度-hough circle detection based tow step detection

VC开发环境下编写的数字图像处理应用程序，适合初学vb图像处理人进行学习，有一定得学习价值-VC prepared the development environment the application of digital image processing, image vb for beginners to learn to deal with people, it must learn the value of

使用VC写的SIFT程序，并能够将转换前后的两张图片的关键点进行比对-SIFT programs written using the VC, and be able to convert the two images before and after the key points of comparison