GLGS

对图像做spca有监督的主成分分析降维，并投影回图像来降噪，在本程序中，使用正弦函数控制图像变化，函数值作为监督信息(Image do spca supervised principal component analysis dimension reduction, noise reduction and projected back images)

双目立体匹配，使用SAD，SSD，NCC算法，比较多种常见算法的优劣，对其优化实现快速准确匹配。(Binocular stereo matching, the use of SAD, SSD, NCC algorithm, compare the merits of a variety of common algorithms, and its optimization to achieve fast and accurate matching)

多尺度Retinex去雾算法，能有效实现雾霾天获取的模糊图像去雾(Multi-scale Retinex defogging algorithm can effectively achieve defogging defogging)

使用MATLAB进行高光谱数据显示（显示分类后图像）(Hyperspectral data display using MATLAB (displaying the classified image))

说明：  对图像进行标记分水岭算法分割，有效的避免过分割(Marked watershed algorithm on the image segmentation, effectively avoid over-segmentation)

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)

一个基于Tikhonov正则化超分辨率重建，可以成功运行。(A Tikhonov based regularized super resolution reconstruction can be successfully operated.)

说明：  图像分割，还可以，kmeans聚类的方法。k-means算法是一种聚类算法，所谓聚类，即根据相似性原则，将具有较高相似度的数据对象划分至同一类簇，将具有较高相异度的数据对象划分至不同类簇。(K-means algorithm is a clustering algorithm. The so-called clustering is to divide data objects with high similarity into the same class cluster and data objects with high dissimilarity into different class clusters according to the similarity principle.)

运用小波阈值实现图像去噪，同时有小波的分解与重构。(Wavelet threshold is used to realize image denoising and wavelet decomposition and reconstruction.)

粒子滤波去噪程序 目标跟踪 粒子滤波的实验程序( particlefilter target tracking)