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最完整的CCA典型相关分析程序，分析两幅图像，相似度，匹配，融合都可以使用，分析天气变量也可以使用。(The most complete CCA canonical correlation analysis program, analysis of two images, similarity, matching, fusion can be used, analysis of weather variables can also be used.)

重力勘探 频率域重力延拓 二维傅里叶变换 源代码(Gravity Gravity exploration extension frequency domain two-dimensional Fourier Transform source code)

根据GetVersionEx获取版本ID获取系统名称(According GetVersionEx version ID for the system to obtain the name of)

说明：  机器视觉系统实例--颜色识别系统，matlab实现(Examples of machine vision systems- the color identification system, matlab achieve)

基于非局部图像去噪模型的遥感图像融合的变分方法。该变分方法采用梯度下降法。(Variational method of remote sensing images nonlocal image denoising model fusion. The variational method using gradient descent.)

光线跟踪，计算机图形学的实验，实现的是消隐，光线之间的遮挡等(Ray-tracing, computer graphics experiments, realize that the hidden light, such as between the block)

说明：  IQA评估指标包括PLCC，SROCC，KROCC，PSNR，SSIM (Structural Similarity），MSE (Mean Square Error)，RMSE (Root Mean Square Error) ，信息熵 (Information Entropy)算法(IQA evaluation indicators include PLCC, SROCC, KROCC, PSNR, SSIM (Structural Similarity), MSE (Mean Square Error), RMSE (Root Mean Square Error) , Information Entropy (Information Entropy) algorithm)

基于PCA主成分分析算法和Yale人脸数据库，采用Matlab语言实现的人脸识别程序，整个程序分为预处理、训练、识别、GUI界面控制等几个模块，注释清晰，通俗易懂。(Based on PCA principal component analysis algorithm and Yale face database, the face recognition program is implemented in Matlab language. The whole program is divided into several modules, including pretreatment, training, recognition, GUI interface control and so on. The annotation is clear and easy to understand.)

说明：  matlab图像滤波去噪分析及其应用 双线性滤波、Kirsch滤波、超限邻域滤波、逆滤波、双边滤波、同态滤波、小波滤波、六抽头滤波、约束最小平方滤波、非线性复扩散滤波、Lee滤波、Gabor滤波，、Wiener滤波、Kuwahara滤波、Beltrami流滤波、Lucy?Richardson滤波、NoLocalMeans滤波等研究内容。(Analysis and application of MATLAB image filtering and denoising Bilinear filtering, Kirsch filtering, transfinite neighborhood filtering, inverse filtering, bilateral filtering, homomorphic filtering, wavelet filtering, six tap filtering, constrained least square filtering, nonlinear complex diffusion filtering, Lee filtering, Gabor filtering, Wiener filtering, Kuwahara filtering, Beltrami flow filtering, Lucy Richardson filtering, nolocalmeans filtering, etc.)

Adult amblyopes can improve positional acuity through practice however, the neural mechanisms underlying this improvement are still not clear. In this study, seven adult amblyopes repeatedly practiced a position discrimination task in the presence of positional noise.