k-svd_second

水平集(level set)的基本思想是将界面看成高一维空间中某一函数ψ（称为水平集函数）的零水平集，同时界面的演化也扩充到高一维的空间中。我们将水平集函数按照它所满足的发展方程进行演化或迭代，由于水平集函数不断进行演化，所以对应的零水平集也在不断变化，当水平集演化趋于平稳时，演化停止，得到界面形状。(The level set (level set) the basic idea is to interface as a higher dimensional space in a function (called a level set function) of the zero level set, and the interface evolution also extended to higher dimensional space. We evolve or iterate the level set function according to the evolution equation it satisfies. Because the level set function keeps evolving, so the corresponding zero level set is also changing. When the level set evolves to a stable state, the evolution stops, and the interface shape is obtained.)

利用Matlab编写的基于hough变换的椭圆检测程序，已经运行过的，附图(Written in Matlab, hough transform based ellipse detection procedure has been run off, with photos)

说明：  图像分割代码，c++实现(Image segmentation code, c++ Achieve)

基于svd的数字水印，信噪比比较高(Svd based digital watermarking, can also signal to noise ratio is relatively high)

说明：  多基线SAR，InSAR相位解缠代码，Matlab版本，对应论文：Robust Two-Dimensional Phase Unwrapping for Multibaseline SAR Interferograms: A Two-Stage Programming Approach ，含数据、代码及验证结果(Multi baseline SAR, InSAR phase unwrapping code, matlab version, corresponding paper: robot two dimensional phase unwrapping for multibaseline SAR interferograms: a two stage programming approach, including data, code and verification results)

说明：  对图像的傅里叶变换图像进行径向和角向频谱统计(Statistics of radial and angular spectrum of Fourier transform image)

说明：  利用大津算法对图片进行处理，得到满意的处理效果。(The image is processed by Otsu algorithm and satisfactory results are obtained.)

说明：  matlab最小二乘法曲面拟合程序可以得到函数具体解析式(Matlab least squares surface fitting program can get the specific analytic expression of the function)

数字图像处理，C语言，功能是打开一幅位图，实现几何变换。(Digital image processing, C language function is to open a bitmap, to achieve geometric transform.)

用小波变换进行图像增强，先对原始图像进行非下采样的小波分解，在对每一层的高频分解系数进行处理，得到变换后的小波系数，再进行小波重构。(Image enhancement using wavelet transform, the original image and non-sampling wavelet decomposition in the high frequency decomposition coefficients of each layer, get the wavelet coefficients after the transformation, then the wavelet reconstruction. )