SSDA

互信息和梯度相结合的图像配准算法，在配准中引入了图像的空间信息(Mutual information and gradient combination of image registration algorithm, the introduction of registration in the image of the spatial information)

matlab关于DCT的图像处理程序 供大家交流(Matlab on DCT image processing procedures for the exchange of)

一种采用中心环绕函数进行的retinex算法，可以对于暗视觉的图像进行有效的增强(A center around the functions of the Retinex algorithm, can for scotopic vision image effectively enhanced)

非常适合计算机视觉方面的研究使用,包括四元数的各种计算,算法优化非常好，几乎没有循环。( Very suitable for the study using computer vision, Including quaternion various calculations, Algorithm optimization is very good, almost no circulation.)

说明：  区域生长法的图像分割方法，效果分厂不错，值得借鉴！(Region growing image segmentation method, the effect of a good factory, worth learning!)

转：https://blog.csdn.net/jinshengtao/article/details/26278725 混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景，然后使用统计差分(如3σ原则)进行目标像素判断，可以对复杂动态背景进行建模，计算量较大。 在混合高斯背景模型中，认为像素之间的颜色信息互不相关，对各像素点的处理都是相互独立的。对于视频图像中的每一个像素点，其值在序列图像中的变化可看作是不断产生像素值的随机过程，即用高斯分布来描述每个像素点的颜色呈现规律单模态(单峰)，多模态(多峰)(Gaussian mixture background modeling is a background representation method based on the statistical information of pixel samples. Statistical information such as the number of patterns, the mean and standard deviation of each pattern are used to represent the background. Statistical difference (such as 3_principle) is used to judge the target pixel. Complex dynamic background modeling has a large amount of computation. In the Gaussian mixture background model, it is considered that the color information between pixels is uncorrelated and the processing of each pixel is independent of each other. For each pixel in a video image, the change of its value in a sequential image can be seen as a random process that produces pixel values continuously, i.e. Gaussian distribution is used to describe the regularity of color rendering of each pixel in single mode (single peak) and multi-mode (multi-peak).)

CT模型仿真，里面有C还有Matlab文件，均可以使用(CT model simulation with C and Matlab)

说明：  find_center:寻找图像的形心，即图像几何中心点的检测。 otsu:otsu分割 sobelNedge：sobel边缘检测 catch_point:全局阈值分割函数(Find center: find the centroid of the image, that is, the detection of the geometric center of the image. Otsu: Otsu segmentation Sobel edge: Sobel edge detection Catch point: global threshold segmentation function)

c# bmp图片转换成 wmf格式 实例

摄像头的标定，作为一般图像处理的第一步，显得尤为重要(Calibration of the camera, as a first step in the general image processing, it is particularly important)