ch4_keystone_contour

说明：  这是个qt绘制贝塞尔曲线的介绍文档，适合新手学习。(This is a QT drawing Bessel curve introduction document, suitable for novice learning.)

人脸识别基于pca lda mmc 的matlab代码(Face Recognition Based on pca lda mmc the matlab code)

实现了一个图像分块的DCT去噪算法，用于学习参考(We achieve an image block DCT denoising algorithm, for learning reference)

通过matlab自带函数等，实现复杂背景下，提目标外轮廓，并且去除内部小区域，得到边缘(By using MATLAB functions and so on, the target contour can be extracted under complex background, and the inner small area can be removed to get the edge.)

本程序为二值图像的处理。通过一种称为CNED(connectivity number based edge detection)的方法对二值图像进行边缘提取。结果表明这种方法比candy sober 等算子更加精确，效果更好。(This procedure for binary image processing. Through a known CNED (connectivity number based edge detection) method for binary image edge extraction. The results show that this method, such as candy sober than the operator more precise, better.)

说明：  经典的BM3D算法，针对图像去噪处理，完整的Matlab代码(Classic BM3D algorithm)

说明：  这个代码是基于贝叶斯的阈值分割,很有用的(This code is based on the Bayesian threshold segmentation, very useful)

本代码是基于Bandelet的硬阈值SAR图像去噪，结果与小波变换进行对比，结果表示其在峰值信噪比，边缘保持系数上均有一定的提高。压缩包中有程序和SAR图像。(This code is based on Bandelet SAR image denoising with a hard threshold .the results were compared with the wavelet transform, and the results indicated that in the peak signal to noise ratio(PSNR)and edge-preserving index(EPI), there is a certain on the increase. There are procedures and SAR images in this compression package.)

使用中值，均值，小波，DCT，PCA五种方法实现对图像的去噪处理。(Five methods, median, mean, wavelet, DCT and PCA, are used to denoise the image.)

利用SVM模型来完成对交通标志进行检测和识别(The SVM model is used to detect and identify traffic signs.)