用C++和OPENCV实现的SOBEL边缘检测

这是数字图像处理的一个程序，是将图像均衡化的matlab编程，希望有人喜欢。-This is a digital image processing of a program that is the image equalization matlab programming, want someone to love.

VC的源程序，具体的大家看吧-VC source, the specific we mull

一个可用于处理GIF图像的图像函数库，功能十分齐全-A GIF image can be used to deal with the image library, features a very complete

基于图像处理的相机自动调焦系统，很有借鉴意义-based on image processing camera auto-focusing system, a useful one

基于混合高斯的运动目标检测程序已经相应的文章！非常值得借鉴！-Gaussian mixture-based moving object detection procedures have been the appropriate article! Well worth learning!

本软件是由作者经过数字图像处理课程的学习，采用vc++.net将其基本算法实现，其算法主要包括： 1.点运算（灰度直方图，直方图均衡处理，线性运算，二值化，灰度化等） 2.几何运算（旋转，放缩，镜像，平移） 3.几何空间增强（均值，中值滤波器，k近邻均值，中值滤波器，Roberts,sobel,priwitt,laplacian,wallis锐化算子等） 4.频率域增强（基2FFT进行空间域到频率域的转换，高斯，理想，巴特沃斯高低通滤波器） 5.形态学（膨胀，腐蚀，开，闭运算，边缘提取） 6.图像复原（加躁）----- 由于时间关系这部分为完成 7.另外加上一个用于读取24位dib的类。-the software is the author of Digital Image Processing courses of study, using vc. Net to its basic algorithm, the algorithm include : 1. Point Operators (histogram, histogram equalization, linear operation, two values, such as Gray) 2. Geometric Operational (rotation, scaling, mirror and translation) 3. geometric space enhancement (mean, median filter, k neighbors Mean, Median Filter, Roberts, segmentation, priwitt, Laplacian, Wallis Sharpening operator, etc.) 4. frequency Domain Enhancement (radix 2 FFT space frequency domain to the domain conversion, Gaussian, ideals, Butterworth High-Low Pass Filter) 5. Morphology (expansion, corrosion, open and close operations, edge extraction) 6. Image

一篇关于图像扭曲恢复的算法思想,主要用于高级验证码的识别分割部分-A distorted image restoration algorithms on the idea, mainly for high-level segmentation part of the identification code

Voronoi和delaunay三角剖分源程序软件，用于构建数值计算的有限元预处理工作-Delaunay triangulation and Voronoi source software for building a numerical calculation of the finite element pre-processing work

液晶表(VB)，VB编程模拟液晶显示，用在界面上很漂亮！-LCD (VB), Visual Basic Programming simulation LCD used in the interface is very beautiful!

数字图像马赫带现象-digital image Mach Phenomenon