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说明：  基于高斯混合模型和隐马尔科夫模型的图像分割算法(Image segmentation algorithm based on Gaussian mixture model and hidden Markov model)

软硬阈值及软硬阈值折中法对bumps信号去噪，另外包含信噪比以及均方误差的求解。(Soft and hard threshold and soft and hard threshold compromise the bumps signal denoising, the other contains the signal to noise ratio and mean square error to solve.)

RANSAC算法实现数据拟合，用此算法可以实现多视角图像匹配等(RANSAC algorithm for data fitting, using this algorithm can realize multi-angle image matching, etc.)

利用OpenCV实现单幅图片对于手指的精确识别(Single image using OpenCV to achieve precise identification of the finger)

黑塞矩阵（Hessian Matrix），又译作海森矩阵、海瑟矩阵、海塞矩阵等，是一个多元函数的二阶偏导数构成的方阵，描述了函数的局部曲率。黑塞矩阵最早于19世纪由德国数学家Ludwig Otto Hesse提出，并以其名字命名。黑塞矩阵常用于牛顿法解决优化问题，利用黑塞矩阵可判定多元函数的极值问题。在工程实际问题的优化设计中，所列的目标函数往往很复杂，为了使问题简化，常常将目标函数在某点邻域展开成泰勒多项式来逼近原函数，此时函数在某点泰勒展开式的矩阵形式中会涉及到黑塞矩阵。(Hessian Matrix, is a square matrix of the second order partial derivative of the multivariate function, which describes the local curvature of the function. The Hesse matrix was first proposed by the German mathematician Ludwig Otto Hesse in the 19th century and named after it. Hesse matrix is often used in Newton method to solve the optimization problem, using the black plug matrix to determine the extreme function of the extreme value problem.)

运用超像素分割算法对图像进行预分割，再利用dbscan聚类算法进行聚类最终实现图像分割。(The use of ultra-pixel segmentation algorithm for image pre-segmentation, reuse dbscan clustering algorithm to cluster the final image segmentation.)

这是一篇讲述最新的干涉图处理的关键技术的文章，非常实用！(This is an article about the latest key interferogram processing technology is very useful!)

Application of the Fourier-Mellin transform to translation-, rotationand scale-invariant plant leaf identification

多样性密度算法,EM-DD算法,最好的多示例学习算法之一,MATLAB实现.(Diverse density algorithm, EM-DD algorithm, one of the best multi-instance learning algorithm, MATLAB.)

Colored-Noise Kalman Filter for Vibration Mitigation of Position Attitude Estimation Systems