kymdjm

全景图像拼接，小例子，对初学者有用。 将txt中代码复制到m文件就可以了。(Panoramic image stitching, small example, be useful for beginners. The code in the txt file is copied to m do.)

说明：  CS的一些重构算法包括OMP，somp,romp,SAMP，CoSaMp，GPSR等等其中还包括了小波变换，dct变换等等(compressive sensing)

matlab　ＰＣＡ源代码 有中文注释(source code matlab PCA has Chinese Notes)

3dx的作业，一个不错的程序，难度易(3dx operations, it is a good procedure, the difficulty Yi)

说明：  蚁群算法的另一种实现形式,通过全局的搜索,避免陷入局部解的改进程序(Another implementation form of ant colony algorithm, through global search, avoid falling into an improved program of local solution.)

基于视频的车道线检测,首先对视频进行一系列预处理，然后进行边缘检测，霍夫变换直线检测，最后对检测出来的直线进行非车道线排除。(Video-based lane detection, the first of a series of video preprocessing, edge detection and Hough transform line detection, finally detected non-linear lane excluded.)

基于DPCA算法的动目标检测，非常实用，希望对你有帮助(DPCA-based moving target detection algorithm is very useful and would like to help you)

Laws纹理策度是用来进行纹理分割的程序,这种方法很有用.(Laws degree texture strategy are used for texture segmentation procedure, this method useful.)

本程序是基于单幅图像的超分辨率算法，通过对输入的高分辨率图像进行下采样得 % 到原始低分辨率图像，对输入的低分辨率图像插值后，利用DWT将低分辨率图像分 % 解为不同的4个子带；同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子 % 带来修正DWT得到的高频子带。最后，通过逆离散小波变换（IDWT）组合修正的高 % 频子带和低分辨率图像，得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This program is a super-resolution algorithm based on a single image, which is sampled from the high resolution image of the input. % to the original low resolution image, after interpolating the input low resolution image, the low resolution image is divided by DWT. The% solution is different 4 subbands, and the resolution image is processed by SWT. High frequency subsets obtained by SWT % brings the high frequency subband obtained by the modified DWT. Finally, the height of the combination of inverse discrete wavelet transform (IDWT) % frequency subband and low resolution image, and the output super-resolution image is obtained. The results were evaluated by calculating PSNR and SSIM.)

Gabor小波提取特征,然后用支持向量机作分类器，可以用于掌纹，人脸，指纹识别。(Gabor wavelet feature extraction, and then use the support vector machine as classifier, can be used for palmprint, face, fingerprint identification.)