SVM算法

对图像进行GMM（混合高斯）拟合后用EM算法进行分割(Image GMM (Gaussian Mixture) after fitting algorithm using EM Segmentation)

读入光流估计的结果，将运动矢量转化成颜色，生成颜色的光流估计图像。(Read optical flow estimation result, the color motion vector conversion, optical flow estimation to generate a color image.)

说明：  对图像进行行列循环加密，采用的是3维混沌系统来增强图像加密的安全性(The 3-D chaotic system is used to enhance the security of image encryption)

本件包含四种二维高通滤波器，他们分别是基于汉宁窗，布莱克曼，凯泽窗和巴特利特窗设计的二维高通滤波器。(This piece contains four two-dimensional high-pass filter, they are based on Hanning, Blackman, Kaiser window design windows and Bartlett two-dimensional high-pass filter.)

本程序可以实现遥感图像的辐射校正、辐射归一化(This program can achieve the radiometric calibration of remote sensing images, radiation normalized)

针对10个手写数字的识别问题，设计了一个BP神经网络，使它能够正确识别10个数字。(Against the 10 handwritten numeral recognition problem, a BP neural network is designed so that it can correctly identify the 10 digits.)

本文提出了基于二维混沌映射的数字图像水印算法，混沌具有随机性、似噪声及对初始条件的极端敏感性等特点。将经过二维混沌映射置乱后的数字水印信号嵌入图像小波域的低频系数，实现了数字水印的隐蔽性、保密性和稳固性；利用二维混沌映射Arnold变换对水印信号进行置乱，不仅增强了水印信号保密性，同时有效提高了视觉上抵抗图像剪切攻击的能力。(In this paper, two-dimensional chaotic map based on digital image watermarking algorithm, Chaos with random noise and the likelihood of extreme sensitivity to initial conditions and so on. Two-dimensional chaotic map will be scrambling after the digital watermark embedded image signal of the low-frequency coefficients in wavelet domain, the realization of a digital watermark hidden, security and stability the use of two-dimensional chaotic map on Arnold transform scrambling watermark signal, not only enhances the confidentiality of the watermark signal at the same time improve the visual image shear resistance attacks.)

图像融合工具包：包含多种基本图像融合方法 开发环境：matlab(Image Fusion tool kits : a mixture of basic image fusion method development environment : Matlab)

利用模糊C聚类（FCM）的方法对彩色图像进行分割，期中可以用不通的特征向量来表征图像的特征(Using Fuzzy C-clustering (FCM) method for color image segmentation, mid-term feature vectors can be used unreasonable to characterize the image Feature)

Watershed Segmentation