一套图像处理程序，支持JPEG、GIF和PNG三种格式

这是一份VC开发环境下的“数字图像处理”一书的配套源代码。对搞VC数字图像处理的朋友应该很有帮助。-VC This is a development environment under the "Digital Image Processing," a book supporting source code. To engage in digital image processing VC friends should be helpful.

性能良好的刚性配准程序，程序能够配准大尺度的刚性形变，有良好的效果，程序中有配准效果图。-A good rigid image registration. it could register images which have large scale deformation. it has the results of registration.

在图像中加入椒盐噪声的源代码，编译后的可执行文件须带参数运行-the image Salt and Pepper to the noise source, the compiled executable file parameters required to bring Operation

改变图像的分辨率，C#语言，很简单的一个小程序。-To change the image resolution, C# language, a very simple procedure.

计算机图像处理技术，主要介绍图像处理的方法以及所采用的VC方法进行图像处理。-Computer image processing technology, introduces the method of image processing as well as the methods used in image processing VC.

该函数用于对图像进行腐蚀运算。结构元素为水平方向或垂直方向的三个点，中间点位于原点。-The function used for computing the corrosion images. Structural elements for the horizontal direction or vertical direction of the three points, between points located at the origin.

This collection of m-files will only get you through the very bear necessities (Look for the ...) of a single-run fMRI-analysis. Its actual aim is to illustrate the efficacy of spatial regularisation of the autocorrelation esimate in the framework of prewhitening the data to correct for serial correlations in the data, as described in the following paper: Gautama, T. and Van Hulle, M.M. (2004), Optimal Spatial Regularisation of Autocorrelation Estimates in fMRI Analysis, NeuroImage, in press.

运动模糊图像恢复算法的研究与实现,希望对大家有帮助-Motion-blurred image restoration algorithm for Research and Implementation, and they hope to help everyone

矢量量化的C语言实现，模式识别经典问题解决-Vector quantization of the C language, pattern recognition classic problem-solving

针对图像的噪声，进行平滑去噪，中值滤波，邻域平均法，还有产生椒盐噪声和随机噪声。取自《vc++图像处理程序设计》第5章-Against the image noise, denoising smoothing, median filtering, neighborhood averaging method, as well as generate Salt and pepper noise and random noise. Retrieved from " vc++ image processing program design," Chapter 5