pics_match

该函数可接受输入图像和一个滤波函数，可处理所有的滤波细节并输出经滤波和剪切的图像。(Performs frequency domian filterlying.)

实现BMP文件的基本功能。用C++实现一个Class，该Class具有读写BMP文件功能；该Class还具有对图像像素进行操作的功能（针对每个像素的读、写） (BMP files to achieve the basic functions. Using C++ implementation of a Class, the Class has read and write BMP file functions the Class also features the image pixel operation function (for each pixel of the read, write))

对输入视频进行处理，使用高斯背景建模的方法，得到视频前景，对于人群密度估计具有很大作用。(Processing of the input video, using a Gaussian background modeling method, to get videos prospects for population density estimation has a significant role.)

对图像进行细化，本实验的细化对象是一组指纹二值图。(Image refinement, the refinement of the experimental object is a set of fingerprint binary image.)

这是一个实现从RGB到HSI的互换的程序,你可以将一个你所喜欢的(This is an implementation from RGB to HSI swap program, you can take a you like)

彩色图像分割算法，首先基于直方图粗分，而后通过kmeans细分，得到分割结果(Color image segmentation algorithm, first, rough segmentation based on histogram and then broken down by kmeans get segmentation results)

说明：  当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。( This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio)

高斯混合模型的最大期望迭代求解算法,可用于图像区域灰度分布估计(Expectation maximazation(EM) for Gaussian mixture model(GMM) )

基于snake模型的图像分割.Matlab 源程序(Snake model based on image segmentation. Matlab source code)

"基于四元数卷积的彩色图像边缘检测"一文的matlab源代码，很有帮助(matlab source code of "Colour image edge detector based on quaternion convolution" Electronics Letters, 34(10), May 14 1998, 969-971)