The C++ implementation of the latest 2D shape registration algorithm. Based on d...

此代码用于ECG波形的QRS检测，采用常见的可实时检测波形的算法。-This code for the ECG waveform of QRS detection, the use of commonly available real-time detection algorithm waveform.

图像二值化算法：Otsu算法，Kittler minimum error thresholding算法，Niblack二值化算法。都是很经典的二值化算法，可用于对图像进行二值化，我自己编写的并经过测试正确。附件中有算法使用说明。-Image binarization algorithm: Otsu method, Kittler minimum error thresholding method, and Niblack method. All these methods are classical binarization methods.

这是一个关于小波变换的MATLAB源程序，源代码-This is a wavelet transform on the MATLAB source code, source code

计算几何学的相关算法 可以根据这个函数确定两条线段在交点处的转向,比如确定p0 p1和p1 p2在p1处是左转还是右转，只要求(p2-p0)*(p1-p0)，若0则右转，=0则共线-geometry calculation of correlation algorithm can determine the function of the two segments to the intersection, such as identifying p0 p1 p1 and p2 p1 is the left or the right, only requirements (p2- p0)* (p1- p0), and if 0 right, a total = 0 line

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 离散余弦变换 处理256灰度级图像-ImageProcessing DCT

对比拉伸好的c++程序，希望对美国那边的图像处理有帮助

一种基于小波的图像融合算法。2004年的一篇文章。-Wavelet-based image fusion algorithm.

一些关于计算机图形学的flash文件，可以更好的学习图形学的编程思想，讲述了各种划线的方法-some flash file about computer figure programming

本MATLAB程序 用MATLAB 来实现3D 图像的匹配 用高斯卷积 来寻找 关键点 ,再利用关键点处的特征向量 通过3D向量的匹配 来实现3D 图像的配准-The MATLAB program using MATLAB to realize the matching of 3D images using Gaussian convolution to find the key points, re-use the key points of the feature vector through the 3D vector matching to realize 3D image registration