张兆礼编著现代图像处理技术及Matlab实现

用小波变换对图象进行灰度处理Wavelet-Using Wavelet Transform of image gray-scale deal with Wavelet

自动域值变换,见程序,用于图象二值化,可用于电子警察中的号拍定位-automatically transform domain values, see procedures for the two binary images can be used for electronic police, the shoot location

有关手机屏幕编程的一个源代码，采用VC＋＋编程技术，对视频编程的初学者有一定的帮助-the handset screen of a program source code, using VC++ programming technology Video programming for beginners will help

delphi 处理多边形与直线的截断例子 -delphi examples deal with graphics

利用opencv做的视频图象中的运动检测类的文章,供大家参考-Opencv done using video images of the motion detection type of essays, for your reference

英文介绍关于pgm图像格式，可以提高英文水平，并获得关于图像方面的知识-English introduction on pgm image format, you can improve the standard of English and knowledge on the image

图像处理源码，包括了绝大多图像处理方法，如边缘检测，区域分割-Image processing source code, including the vast majority of image processing methods, such as edge detection, region segmentation

专门为MIKE 21定制的提取dxf文件数据点的程序.能够提取AutoCAD dxf文件中的:1.点高程2.Text中的数据3.线（包括Line,Polyline）中的高程数据，三种模式： 1)直接提取直线端点高程2)在直线上进行数据点的加密，然后输出3)输出为模型的水陆边界 -dedicated to the extraction of 21 customized data points dxf document procedures. To extract AutoCAD14 D dxf document : 1. 2.Text point elevation data of three. (including Line, Polyline), the elevation data, three models : 1) direct extraction of straight endpoint Elevation 2) on the line for the encryption of data points, then output 3) output model of the land and sea borders

采用快速傅立叶变换（fft) 对图像进行配准的标准程序（matlab语言）-Using fast Fourier transform (fft) of the image registration of the standard procedures (matlab language)

30个图像处理的VC++ 源代码，包括256色转灰度图,Hough变换,image_j1,PCA,Walsh变换,对比度拉伸,二值化变换,反色, 方块编码,傅立叶变换,高斯平滑,灰度均衡,均值滤波,拉普拉斯锐化（边缘检测）, 离散余弦变换,亮度增减,逆滤波处理,取对数,取指数,梯度锐化,图象处理,图像镜像, 图像平移,图像缩放,图像细化,图像旋转,维纳滤波处理,用Canny算子提取边缘,阈值变换,直方图均衡.-30 image processing VC++ Source code, including 256 colors to grayscale, Hough transform, image_j1, PCA, Walsh transform, contrast stretching, binarization transformation, anti-color, box encoding, Fourier Transform , Gaussian smoothing, gray balance, mean filter, Laplacian sharpening (edge detection), discrete cosine transform, the brightness increases and decreases in inverse filtering deal, check on the number of check index, the gradient sharpening, image processing, mirror image, image translation, image scaling, image thinning, image rotation, Wiener filtering treatment using Canny edge extraction operator, threshold transform, histogram equalization.