Visual C++MATLAB图像处理与识别实用案例精选之　图像旋转　算法的源程序，含标准测试图片...

MATLAB工具箱，《数字图像处理》冈萨雷斯版专用，网上不少人在找，这是我从国外网站下载的，贡献出来。-MATLAB toolbox,

模式识别的一些预处理知识源程序，初学者在编制程序时可以参考- Two programs are included in this directory: STK2RAS takes a stroke file as input and converts it into a bit-per-pixel representation (along with some header information, see RASHEADR.H). The output of the STK2RAS program is a .RAS file. The GRID1 program found in this directory is a PM program which takes a .RAS file as input and displays the image. Notice that the GRID1 program uses run length compression. See class RLCX to scale the image.

包含一种新的相对距离、欧式聚立等的距离计算方法，计算每个训练样本到所有测试样本的距离。-includes a new relative distance, Continental and others Poly distance calculation method calculated for each sample to test all samples distance.

这是一个关于图象融合的程序，利用该程序可以实现任意图象的匹配与融和。-This is a picture of the integration process, the use of the program could realize arbitrary image matching and integration.

149个C语言图像处理程序，每一个都是完整的图像处理程序，覆盖了图像处理技术的主要内容-149 C language image processing procedures are complete for each image processing procedure, covering image processing technology, the main content

用途：数字图象处理算法的演示，包括： • 图象的DFT和逆DFT • 图象的FFT和逆FFT • 在图象中加入正弦噪声 • 图象的模板运算实现图象平滑和锐化 • 图象的直方图均衡化 • 图象的对比度拉伸 • 图象的中值滤波 • 图象灰度直方图的显示 • 若干频域滤波器 • 图象的镜像 • 图象的旋转（90度与任意角度） • 图象的放缩 • 其它小算法 代码设计思想：软件在Windows环境下，利用Visual C++6.0开发，代码利用面向对象的思想，通过若干个类完成： 主要类： memBitmap类：内存图象类。将图象读入到内存中，对象素的读写在内存中进行，较之通过CDC类来进行，速度有很大提高。同时还对部分JPEG格式图象提供了读支持，可以将图象保存为BMP真彩格式。 Complex类：复数类，完成复数运算。 CBmpDemoView类：视类，完成显示。 CbmpDemoDoc类：文档类，图象数据和对数据的变换、处理都在此类中完成。 Fourior类：完成一维序列的DFT和FFT,FFT只支持为2的整数次幂的情况

这是关于数字图象几何变换算法的vc++源代码-This is on digital images of geometric algorithm source code vc

The algorithm is based on “Segment-Based Stereo Matching Using Belief Propogation and a Self-Adapting Dissimilarity Measure” by Klaus, Sormann, and Karner. -The algorithm is based on

图像比对是以原件的图像为基准，对待鉴定件图像进行预处理、定位、配准；再对原件及待鉴定件的图像进行相似度比对；计算出两者的相似度数值。 -Image than on the original image is based on identification of pieces of treated image pre-processing, positioning, registration again and to be identified on the original piece of image similarity matching calculate the similarity between the two values.

A peak fitting program for time-series signals-A peak fitting program for time-series sig nals