CS

说明：  均值方差与协方差 协方差矩阵、特征值与特征向量的提取、PCA原理 人脸识别算法之EigenFace、LBPH 人脸识别应用开发案例(Mean Variance and Covariance Covariance Matrix, Extraction of Eigenvalues and Eigenvectors, PCA Principle EigenFace and LBPH of Face Recognition Algorithms Case Study of Face Recognition Application Development)

说明：  摄影测量相对定向程序，单独像对相对定向，所得精度较高(Photogrammetry relative orientation procedures, as a separate relative orientation, derived from high precision)

说明：  基础距离多普勒算法的实现，包括机载星载点目标仿真和实测数据仿真(The realization of the basic distance doppler algorithm includes the simulation of airborne spaceborne point target and the simulation of measured data)

说明：  标注节点距离，批量标注节点距离。节省画图时间 提高画图效率(Marking Node Distance)

此程序实现了模糊增强实现图像的边缘检测，利用模糊方法结合边缘检测实现边缘点的提取。(Realize this procedure to enhance implementation of fuzzy image edge detection, the use of fuzzy edge detection methods achieve the extraction of edge points.)

说明：  用滑动窗口中图像的灰度共生矩阵进行简单的2类纹理的分割.(sliding window of the gray image symbiotic matrix simple two types of texture segmentation.)

很全的图像融合指标，综合熵、空间频率、互信息等等，一共7种！和两幅源图像！每个程序都测试过，效果很好，直接出结果(Are all indicators of image fusion, integrated entropy, spatial frequency, mutual information, etc., a total of 7! And the two source image! Each program is tested with good results, directly results from)

EM算法。问题背景是，有N条长为L的DNA序列，每条序列里面有一条长尾K的目标序列，但不知道他的位置，目标序列内的核苷酸服从foreground product multinomial distribution，非目标序列服从background multinomial distribution，改程序意在求解两种分布的参数。(EM algorithm. Background to the issue is that there are N pieces of length L of DNA sequences, each sequence which has a target sequence Nagao K, but do not know his position, the target nucleotide sequence within obedience foreground product multinomial distribution, non-target sequence obey background multinomial distribution, the program is intended to change the parameters in solving the two distributions.)

实现图像精确分割，基于ALpha Matting 的基础上的Sharedmatting图像分割算法(Accurate image segmentation,Sharedmatting image segmentation algorithm based on ALpha Matting)

yuv格式的视频分解成每一帧图像，使用的是matlab语言(yuv format video into each frame, using matlab language)