基础的打开图像，浏览图像，图像平滑，增强等

基于图像处理的人脸识别代码，效果比较好，有多种方法，可以实行边缘提取，标记眼睛，标记嘴巴-Face recognition based on image processing code, the effect is better, has a variety of methods, edge detection can be implemented, marking the eyes, marking the mouth

程序代码说明 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理 -err

针对平面内不相交的点或圆，根据三角剖分的原理，生成VORONOI图-For the plane does not intersect the point or circle, in accordance with the principles of triangulation to generate VORONOI map

相机中都需要进行伽马校正，本实验中通过程序caculate_curve.m读入图片0中的灰度值，通过计算得到伽马变换的伽马系数，然后利用伽马系数进行反变换。-Both the need for gamma camera calibration, the experimental procedure caculate_curve.m read into the picture through the gray value of 0, obtained by calculating the gamma-gamma transform coefficients, then use the gamma coefficient inverse transform.

intel的ipp性能库sample code，提供了加速的静态图象处理示例，充分显示了ipp在多核平台下的性能优势-intel performance of ipp library sample code, provided the acceleration of static image processing example, it shows that in multi-core platform ipp performance advantages

这个源代码实现的功能是对于图像的处理：对比度的拉伸，可以运行-achieve the source code for the functions of image processing : the tensile contrast, can run

数字信号处理应用matlab,包含了相关的多个内容，较为经典-Application of digital signal processing matlab, contains a number of related content, the more classic

图像处理中边缘检测的canny算子的c实现，希望对大家有用。-Image Processing canny edge detection operator c realize the hope of everyone useful.

Goodfectertotreck的实现-Goodfectertotreck opencv

VB人脸检测使用OpenCV