中心线提取

关于MC三维重建算法的二义性消除的文章，很好的消除了MC算法中的二义性(it s the article about Three-dimensional reconstruction algorithm to eliminate ambiguity in MC)

说明：  用奇异值分解（SVD）的方法进行噪声去除( noise removing by SVD analysis)

用freeman链码 来提取图像特征 以便识别(Freeman chain code used to extract the image feature to identify)

说明：  基于ADMM的TV正则化最小化稀疏重建算法(TV Minimization Sparse Reconstruction Algorithms Based on ADMM)

基于LSB的数字水印，有图像有源码，还有各种攻击(LSB-based watermarking, there is a source image, as well as a variety of attacks)

二维图形图像处理，高斯平滑的源代码，图像预处理(Two-dimensional graphic image processing, Gaussian smoothing of the source code, image preprocessing)

遗传算法与BP神经网络结合，可以进行彩色图像和灰度图像的分割。(Genetic algorithm and BP neural networks that can be color images and gray-scale image segmentation.)

Real-time Specular Highlight Removal实现论文“Real-time Specular Highlight Removal Using Bilateral Filtering”中算法(Real-time Specular Highlight Removal Papers " Real-time Specular Highlight Removal Using Bilateral Filtering" in the algorithm)

ELMAN计算方法，改进的算法,非常好用(ELMAN calculation algorithm, the improved，use very well)

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)