masksample

对Vladimir Kolmogorov，Yuri Boykov大牛的算法杰作——Graph Cut进行使用演示，代码力求精简，可供Graph Cut初学者参考学习。已通过VS2005编译。(Of Vladimir Kolmogorov, Yuri Boykov big cow masterpiece algorithm- Graph Cut for the use of demonstration, the code to be simple, for beginners Reference Graph Cut Study. VS2005 compiler has passed.)

三维重建过程中常见的算法源码，效果良好，适合基础学习(3d reconstruction reconstruction)

使用MATLAB进行高光谱数据显示（显示分类后图像）(Hyperspectral data display using MATLAB (displaying the classified image))

用matlab软件编写的图像配准代码，用于图像配准或图像处理(matlab edge detect-matlab edge detect)

matlab 高光谱处理工具箱 hyperspecreleasesmatlab_hyperspectral_toolbox_v0.07.zip( Matlab Hyperspectral Toolbox Copyright 2008-2012 Isaac Gerg ------------------------------------------------------------------------- A Note on Notation Hyperspectral data is often expressed many ways to better describe the mathematical handling of the data mainly as a vector of pixels when referring to the data in a space or a matrix of pixels when referring to data as an image. ------------------------------------------------------------------------- Dependencies FastICA- http://www.cis.hut.fi/projects/ica/fastica/code/dlcode.shtml ------------------------------------------------------------------------- Functions Reading/Writing Data Files hyperReadAvirisRfl- Reads AVIRIS .rfl files hyperReadAvirisSpc- Read AVIRIS .spc files hyperReadAsd- Reads ASD Fieldspec files. (.asd, .000, etc) Data Formatting hyperConvert2D- Converts data from a 3D HSI data cube to a 2D matrix hyperConvert3D- Converts data fro)

B样条曲面方法，通过b样条曲面的拟合得到图像的背景，减去背景图像就能得到重要内容的图像，除去了背景对图像内容的干扰，也可解决光照不均的问题(algorithms for cytoplasm segmentation of fluorescence labelled cells)

winform 多个 饼形图 分析人力资源数据

目标运动的真实轨迹和估计轨迹，以及所进行的误差分析(Target motion trajectory and estimate the true trajectory, and error analysis conducted)

isomap matlab的实现源程序，使用时，需要添加主程序。(isomap Matlab implementation source program, when used, need to add the main program.)

说明：  各种分割算法的实验 包括阈值分割，多阈值分割，二维最大熵分割等(various experiments, including the threshold segmentation, multi-threshold segmentation, 2D Maximum Entropy segmentation)