实现计算机图形学中的三种典型算法：直线扫描转换、椭圆扫描转换、直线剪切。采用的是VC++中的MFC平台...

A set of matlab funcitons used in the field of digital image processing (pattern recognition).

学习使用openCV的入门程序，对初学的朋友有帮助-Learning to use openCV entry procedures, the friend has to help novice

该程序利用小波模极大值对图像边缘进行检测并提取,效果很理想-The program using the wavelet modulus maxima of the image edge detection and extraction, the effect of very satisfactory

利用快速傅立叶算法，实现快速离散余弦变换及其逆变换-Using fast Fourier algorithm for fast discrete cosine transform and its inverse transform

基于轮廓的形状特征提取 1)该程序在VC＋＋6.0下编译通过； 2)测试图片说明：（图像路径名请在main函数中fp=fopen("1.bmp","rb")中设定） 64×64 24bit BMP： 图像1、2用来验证旋转图像识别；图像1、3用来验证平移图像识别；图像1、4用来验证缩放图像识别； 120×120 24bit BMP： 图像5、6用来验证平移图像识别；图像7、8用来验证旋转图像识别； 3)结果说明： MCS.dat保存了Mountain Climbing Sequence。 -Based on the outline of the shape feature extraction 1) the program in VC 6.0 under the compiler through 2) Test Photo Caption: (image path name in the main function fp = fopen (1.bmp, rb) set) 64 × 64 24bit BMP: image 1,2 to verify rotating image recognition image 1,3 to verify translational image recognition image 1,4 to verify scaling image recognition 120 × 120 24bit BMP: images used to verify translational 5,6 image recognition images 7,8 rotate images used to verify identification 3) The results indicate that: MCS.dat preserved Mountain Climbing Sequence.

一些在视频图像处理中关于背景建模的论文（第3部分）-Video image processing in the context of modeling on the paper (Part 3)

用VC实现的一幅图像的快速离散余弦变换程序，同时也给出了普通离散余弦变换的程序，以方面对比，给出了变换后的图像，以及相应的离散余弦反变换。-with VC image of a fast discrete cosine transform procedures, We also discuss the discrete cosine transform ordinary procedures, respect contrast, is the transformation of images, and the corresponding discrete cosine transform.

用VC语言开发了一个直方图均衡的程序，对于采集到的直方图数据可以实时进行均衡化-use VC to simulate

通过小波变换提取图像亮度，模糊度和相关度等多项指标综合表示图像质量，达到真正的自适应。-Extracted through the wavelet transform image brightness, degree of ambiguity and that a wide range of image quality index, the true adaptive.

数字图象处理程序,有直方图统计,二值化,伪彩,边缘提取,锐化等功能.-digital image processing procedures, histogram statistics, in 2000 the value of, pseudo-color, edge detection, sharpening, and other functions.