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一本关于图像处理的好书，是在VC++上实现的，希望对大家有所帮助-no

在计算机视觉中首先一步是计算每个摄像机的参数(外参和内参)，这是重建物体所必须的，这一个过程称为摄像机定标(camera calibration)。这是我自己写的一个简单的采用2维模板(模板是由黑白相间的格子组成，格子大小60cm×60cm)定标的程序，交互性比较好，每个角点通过鼠标点击自动获取。-Computer Vision in the first step is to calculate the parameters of each camera (outside the Senate and internal), which is necessary for the reconstruction of objects, which a process known as camera calibration (camera calibration). This is what I wrote it myself using a simple 2-D template (template is composed of black-and-white lattice, lattice size of 60cm × 60cm) calibration procedures, better interactivity, each corner through the automatic acquisition of mouse clicks.

这是雷达成像中的一个简单的成像算法-RD算法，这个算法能很好的成像，而且成像质量也不错-This is the radar imaging of a simple algorithm-RD imaging algorithm, this algorithm can be very good imaging, and image quality is also good

图像处理代码，主要是人脸的自动识别和检测。-Image processing code, mainly because they face the automatic identification and testing.

程序实现图像灰度化，设置动态阈值图像增强-Program image, and set the dynamic threshold image enhancement

matlab实现的，神经网络仿真系统，对于想研究神经网络这块东西，很值得去看的东西哦-matlab realization, neural network simulation system, the neural network would like to study this thing, it is worth Oh, look at things. .

used to rearrange the code of point from 1 D to 2Dimension

this function is getting the background by mean function for rael time . the function calc the mean of every pixel .

图像 稀疏分解方法 Random Sampling of Sparse Trigonometric Polynomials II - Orthogonal Matching Pursuit versus Basis Pursuit - (Preprint arXiv:math.CA/0604429) by Stefan Kunis and Holger Rauhut-Image sparse decomposition method Random Sampling of Sparse Trigonometric Polynomials II- Orthogonal Matching Pursuit versus Basis Pursuit- (Preprint arXiv: math.CA/0604429) by Stefan Kunis and Holger Rauhut

图像处理程序，支持256色以下图形图像的处理变换，包括傅立叶变换等算法的图像编码。-Image processing procedures, to support 256-color graphics images deal with the following transformation, including the Fourier transform algorithm for image coding, etc..