VC++图像处理的源码，包含了基本的图像处理功能，比如旋转缩放等，还包括的图像配准...

人脸眼睛分割源程序，可以很好的标分出瞳孔的位置以及大小。-face separate source eyes, a good standard of the separation of the position of the pupil size.

在VC6.0中的一些基本操作,常常用来进行简单的学习和常规的练习 -in VC6.0 of some of the basic operations, often used for the study and simple conventional exercise

几个关于图像质量评价的函数。包括psnr峰值信噪比，均方误差rms，正则均方误差nmse等。可用于去噪图像和压缩图像的质量评价-several image quality evaluation of the function. Including psnr PSNR, mean square error rms, it is mean-square error nmse other. Images can be used for de-noising and compression of image quality evaluation

采用索贝儿算子对图像进行边缘的检测和提取，效果一般吧，粗糙的示例程序。-The use of cable operator Belle image edge detection and extraction, the effect of the general bar, rough examples of procedures.

一个交互式程序，利用Hough变换检测圆。允许人工选择圆半径。-An interactive process, the use of Hough transform circle detection. Permit artificial selection radius.

D5/3整数小波变化，实现二维图像的整数小波变化，可用于图像的无损压缩，可实现多级变换，用户可自己设定变换级数-D5/3 integer wavelet change, realize two-dimensional integer wavelet image changes, can be used for lossless image compression, multi-stage transformation can be realized, users can set their own transformation series

早期，matlab主要是进行科学计算等应用，而目前可以有了更广泛的用途，如图像处理，上传文件就对matlab中的图像处理命令进行了详细介绍。-Early, matlab is mainly for scientific computing applications, can now have a broader range of uses, such as image processing, upload files on the right of the matlab image processing commands are described in detail.

小波阈值去噪的源代码.不同的阈值函数可以修改阈值函数.从而实现功能.-wavelet thresholding source. Different threshold function can change the threshold function. Thus achieving functional.

关于图像处理技术在冬小麦测试中的应用，用VC编的软件能对小麦进行二值化处理，中值滤波和灰度变换。-On image processing technology in the winter wheat test the application of the software made by VC on wheat binarization processing, median filtering and gray-scale transformation.

一个基于DCT变换的信息隐藏程序，能把文本信息隐藏到经过DCT变换的图像载体的频域中去。程序重点在于对图像的DCT变换-DCT-based Information Hiding Transform procedures, able to hide text message into image after DCT transform domain to the frequency vector. Procedures focus on the DCT transform of image