MRF_SEGMENT

实现了图像的加水印，去噪，加噪声等功能，部分实现了追踪测速迭代松弛算法，独立成分分析算法降低原始数据噪声。( Realize image watermarking, de-noising, plus noise and other functions, Partially achieved tracking speed iterative relaxation algorithm, Independent component analysis algorithm reduces the raw data noise.)

说明：  ：建立了碳钢渗硫表面和非渗硫表面的多球凸峰面接触模型，模型中，凸峰高度按高斯函数分布．用塑性流线 理论分析了渗硫层的摩擦系数．计算结果表明：摩擦系数随载荷的增加而增加；相同粗糙度下，磨削加工的摩擦系 数比车削加工的摩擦系数大；摩擦系数随着渗层厚度的增大而增大．从减小摩擦系数的角度来考虑，渗硫层并非 越厚越好． (the multi-asperity sphere-shape model for surface contact between sulphurized layer and unsulphurized layer is established．in which the height of sphere-shape asperities follows the Gaussian distribution．1he frictional coeficients of sulphurized layers are analyzed by using plastic flown line theory．1he results show that the frictional coeficient increases with the load．the frictional coeficient of ground surface is higher than that of tumed surface in case of the same roughness．1he thicker the sulphuri[ed layer is．the higher the frictional coeficient is．From the viewpoint of reducing frictional coeficient，the thickness of sulphurized layer should be smaller．)

图像处理均值漂移算法平滑处理meanshift(mean shift)

说明：  地震数据处理中的基础的地震数据读取程序，MATLAB环境下应用(Seismic Data Reading)

佳能数码相机图像处理源码工具(EOS 350D, 20D, 1D等)(Canon digital camera image processing source tools (EOS 350D, 20D, 1D, etc.))

去除高斯噪声的有效码源，去噪能力强，使简单。(The effective removal of Gaussian noise source code, denoising capability, so that simple.)

Timesat3.2，用于遥感影像的NDVI时间序列分析，提取物候参数。 (Timesat3.2, NDVI time series for the analysis of remote sensing images, extract phenological parameters.)

tv图像修复，用matlab实现，包含源图像以及修复后的图像，有文字修复，划痕修复，小斑点修复等。(TV image restoration, using matlab implementation, including the source image and the image after the repair, the text repair, scratch repair, spot repair.)

说明：  编程实现对bmp图像最大值，最小值，标准差，熵，各灰度值频率的计算(Programming to calculate the maximum value, minimum value, standard deviation, entropy and gray value frequency of BMP image)

人脸图像质量评价体系介绍，非常全面，此方面研究的不错入门资料(Face image quality assessment system introduced, very comprehensive study in this regard a good introductory information)