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可以对边缘检测出来的椭圆,实现椭圆参数的自动提取,非常的好用,自己编写的,请各位大哥多指教,QQ:526289(be on the verge of testing the ellipse, the ellipse parameters to achieve the automatic extraction, very convenient, their preparation, please enlighten you more than big brother, QQ : 526289)

边沿检测轮廓跟踪,在图像处理中非常重要的边缘检测轮廓跟踪算法。(Edge detection contour tracking, image processing in a very important edge detection contour tracking algorithm.)

相移三步法、四步法、五步法及相应的相位解包裹程序(?àò?èy 2?·¨? ￠ ?? 2?·¨? ￠ ?? 2?·¨?° ?àó | μ??à? ?? a ° ü 1 ü 3 ìDò)

8通道GRAPPA并行重建算法，4倍加速(Parallel reconstruction algorithms ,GRAPPA，R=4)

此代码采用正态分布变换算法NDT进行点云配准(This code uses the normal distribution transform algorithm NDT for point cloud registration)

主成分分析方法（PCA），PCA算法的理论依据是K-L变换，通过一定的性能目标来寻找线性变换W，实现对高维数据的降维。(Principal component analysis (PCA), PCA algorithm is based on the theory of KL transform, through a certain performance targets to find the linear transformation W, the realization of high-dimensional data, dimensionality reduction.)

图像压缩感知,稀疏基为FFT或DWT（其中FFT是构造正交变换矩阵，DWT是对高频系数进行测量）；重构方法为OMP(compression sensing of image based on FFT or DWT)

说明：  ENVI软件标准格式的高光谱遥感图像含有两部分：一个是高光谱图像 '*.img '，另一个是遥感图像头文件 '*.hdr'，该文件记录了遥感图像的信息，如图像尺寸、波段数、数据类型和大小端等。如果缺少头文件，将无法对遥感图像进行读取，因此头文件十分重要。 在Matlab中，将利用函数multibandread()对多波段（高光谱/多光谱）图像进行读取。(The hyperspectral remote sensing images of ENVI software standard format contain two parts: one is hyperspectral image'*.img ', the other is the remote sensing image header file'*.hdr', which records the information of remote sensing image, such as image size, band number, data type and size end, etc. If there is no header file, it will not be able to read remote sensing images, so header files are very important. In Matlab, multibandread () is used to read multiband (hyperspectral / multispectral) images.)

说明：  图像融合指标，综合熵、空间频率、互信息等等，一共7种。在图像处理后的质量评价方面很有用(Fusion index, comprehensive entropy, spatial frequency, mutual information, etc., a total of 7 species. In the image processing is useful for quality assessment)

一种最新的点云邻域尺寸的选择方法，对点云后续处理，包括特征提取、点云分类等有很大的帮助(One of the latest point cloud neighborhood size selection method for point cloud subsequent processing, including feature extraction, point cloud classification is very helpful)