在浏览器内实现了点、线、面的编辑（增加、删除、修改、移动等），使用java面向对象类派生方法设计。...

动态、静态图像压缩类-dynamic and static image compression category

一个dos 环境下的小游戏。用tc20编写的。适合初学者。-an environment of small game. With tc20 prepared. For beginners.

这是一个使用VC语言编写的实现数字图像处理的源代码及说明文当，很好的-This a use of the VC language digital image processing of the source code and explanations when the text, very good! !

这是一个VC图像处理框架程序，里面包含若干常用的图像处理算法-This is a VC image processing framework program, which contains a number of commonly used image processing algorithms

一个能够旋转的螺钉，非常好看！-a screw to rotate and extremely good looking!

The OpenJPEG library is an open-source JPEG 2000 codec written in C language.

FaceDetection是一个静态人脸检测程序，注意FaceDetection需要OpenCV提供的库支持，因此请首先到相关网站上下载并安装OpenCV，此外本程序需要导入一个分类器文件haarcascade_frontalface_alt.xml，该文件在OpenCV中提供，请读者将该文件复制到程序同一目录下，程序即可正确运行。-FaceDetection is a static face detection process, the attention required FaceDetection library OpenCV provides support to the relevant website, please first download and install on OpenCV, addition of the procedures necessary to import a document classifier haarcascade_frontalface_alt.xml, the document provided in OpenCV Please copy the document reader to process the same directory, the program can be run right.

用matlab实现的有一个数字水印程序，它也是基于dct算法的数字水印程序，对一副图像进行dct变换然后嵌入水印-using Matlab is a realization of the digital watermarking procedure, which is based on the A1501 digital watermarking algorithm procedures, a pair of images Extra Transform then embedded watermark

2D图像处理非线性拉伸变换用于图像增强处理-2D image processing for non-linear stretch image enhancement transform treatment

Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)