An article on the particle filter in target tracking applications.

该程序可以实现图形的旋转，水平镜像，垂直镜像，缩放，剪切等-The program can realize the rotation of graphics, the level of the mirror, vertical mirror, zoom, shear, etc.

依序图像处理，3d图像建模与测量分析-Sequentially image processing

天津大学的ACM队的计算几何的资料合集,有兴趣的人看看吧,有点帮助的就好,c++写的-Tianjin University of ACM team computational geometry Collection of information, those who are interested in and watch it. like a bit of help, write c

source code of Harris corner detection -source code of Harris corner detection

基于轮廓的形状特征提取 1)该程序在VC＋＋6.0下编译通过； 2)测试图片说明：（图像路径名请在main函数中fp=fopen("1.bmp","rb")中设定） 64×64 24bit BMP： 图像1、2用来验证旋转图像识别；图像1、3用来验证平移图像识别；图像1、4用来验证缩放图像识别； 120×120 24bit BMP： 图像5、6用来验证平移图像识别；图像7、8用来验证旋转图像识别； 3)结果说明： MCS.dat保存了Mountain Climbing Sequence。 -Based on the outline of the shape feature extraction 1) the program in VC 6.0 under the compiler through 2) Test Photo Caption: (image path name in the main function fp = fopen (1.bmp, rb) set) 64 × 64 24bit BMP: image 1,2 to verify rotating image recognition image 1,3 to verify translational image recognition image 1,4 to verify scaling image recognition 120 × 120 24bit BMP: images used to verify translational 5,6 image recognition images 7,8 rotate images used to verify identification 3) The results indicate that: MCS.dat preserved Mountain Climbing Sequence.

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

基于小波的ICA-R算法，适合混合图像的分离。具有速度快等优势。-Wavelet-based ICA-R algorithm, suitable for the separation of mixed images. With a speed advantage.

二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快。-Two-dimensional empirical mode decomposition, the use of morphology for extreme points, Radial Basis Function Neural Network Fitting, faster.

利用GAC水平集迎风方案实现图像分割，分割效果较好，收敛速度快-GAC sets the level of use of the wind program to achieve image segmentation, segmentation better, faster convergence

Visual C++数字图像处理典型算法及实现 第2版 源码对学习图像处理入门非常有用的书。-Visual C++ digital image processing algorithms and implementation of a typical version 2 source for learning image processing, a very useful book entry.