粒子群算法的Pareto多目标函数优化

角点检测程序，能够标记出图像中的角点。角点检测是图像匹配对第一步(corner detection procedures can mark up images of the corner. Corner detection is the first step in image matching)

稀疏矩阵字典的优化KSVD，本人已进行测试，效果甚佳,可以用在图像，数据的压缩和分类(Sparse dictionary optimization KSVD, I have been tested, very good results)

用于相机标定的棋盘角点检测程序，包含伪角点去除，亚像素角点提取(Chessboard corner detection procedures for camera calibration, including the removal of the pseudo-corner, subpixel corner extraction)

给予matlab的图像分割例程，内附相关图片及程序。(Image segmentation routine MATLAB, containing the relevant pictures and program. )

说明：  matlab 立体匹配，包含了多种三维重建中的立体视觉匹配(Matlab stereo matching, including stereo vision matching in many kinds of three-dimensional reconstruction)

图象数据透明化源码，主要使用两种方法使图象透明显示：一种是用画板载入画图片，画出方式选择透明白色；另一种是将图象数据字节集化，并按高度和宽度逐一改变颜色使颜色透明。(Transparent image data source, the main use of the image transparent display two methods : one is to use Sketchpad loaded Picture , Draw Mode Select transparent white; the other is a set of bytes of image data , and press)

lda线性特征提取，用于人脸识别，首先进行小波特征提取后用lda提取特征。(lda linear feature extraction for face recognition, first of all, after feature extraction using wavelet feature extraction using lda.)

说明：  全变分模型主要是依靠梯度下降流岁图像进行平滑处理的模型,希望在图像的内部对图像进行平滑,使得相邻像素的差值较小(The total variation model is mainly based on the gradient descent flow year image smoothing model, hoping to smooth the image inside the image, so that the difference between adjacent pixels is small)

脆弱水印的matlab实现 脆弱水印的matlab实现(Fragile watermarking matlab implementation)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为ILRS算法，对256*256的lena图处理，比较原图和IRLS算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间(Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and IRLS algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using IRLS algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)