C_V

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 (P0301: digital image data matrix display and Fourier Transform P0302: two-dimensional discrete cosine transform image compression P0303: using gray transform method to enhance the contrast of the image P0304: histogram equalization P0305: Simulation images by white Gaussian noise and salt and pepper noise P0306: 2D median filtering function medfilt2 right by Salt and Pepper image noise filtering P0307: using MATLAB functions filter2 of noise images mean filtering P0308: Image Adaptive Filter Weiner P0309: use five different gradient Enhancement Act for image sharpening P0310: Images of the high-pass filtering and mask handling P0311: use Butterworth (Butterworth) low-pass filter on the noise in the image smoothing P0312: use Butterworth ( Butterworth) high-pass filter for image sharpening)

亚像素提取边缘源代码，可以进行准确的边缘检测(Subpixel edge source code)

褶积模型正演模拟，非常好用，非常好用，非常好用！(Forward simulation of convolution model ,very good!)

二值化图像,提取图像中的圆形，例如提取照片中的车轮(Extracting a circular image, for example, extraction wheel photo)

检测皮肤代码。主要包括图像读入，大小变换，格式转换，图像滤波，颜色空间转换，皮肤模型，去除少像素连同区域以及膨胀作用(face detection based on skin model)

说明：  利用matlab对已知多对控制点的情况下进行两张图像校正，该算法能够取得较好的结果(Using matlab to correct two images when multiple pairs of control points are known.The algorithm can get good results.)

水平集分割图像的一种算法，属于比较前沿的一种图像分割方法。(A level set image segmentation algorithm, a relatively cutting edge of a segmentation method.)

基于YCgCr色彩空间与几何信息的人眼定位方法(YCgCr color space and geometry based on the information the human eye location methods)

说明：  一种可用的相位恢复算法，做图像处理的同学们可以参考-A effective phase retri algorithm(phase retri algorithm)

若干次压缩后图像信噪比的变化情况，有子程序实现 (Several compressed image signal to noise ratio of the changes have Subroutine realize)