imagezengqiang

说明：  采用考虑湍流内外尺度影响的退化模型来恢复大气湍流降质图像，运用包含了湍流内外尺度影响的波结构函数、折射率谱以及薄透镜成像的退化函数导出了新的退化模型。(A new degradation model includling the influence of outer-and inner-scale of turbulence is presented to restore atmospheric turbulence degradation images. )

基于matlab的图像加密，直接运行就行(Image encryption based on matlab)

说明：  matlab编写的对极几何约束算法，用来剔除角点跟踪过程中的离散点(matlab prepared for a very geometric constraint algorithm, used to remove corner to track discrete points in the process of)

关于形态分量分析（mca）的英文文章，共六篇，pdf(Morphological Component Analysis )

根据icip会议2005年度的一篇文章编写的matlab程序。包含有效果图。 运用smqt（连续均值量化变换）算法进行灰度图像增强。它比传统方法（直方图均衡化处理）的优点在于可以保证增强后图象的直方图波形不变，可以展现图象的底层结构，自动集中改进图象细节。是一种新的效果更好的灰度图象增强算法。(under icip 2005 annual meeting of an article prepared by the Matlab procedures. Includes map results. Smqt use (continuous quantitative mean transform) algorithm for gray-scale image enhancement. It is superior to the traditional method (histogram equalization processing) has the advantage can guarantee enhanced image histogram waveform unchanged. able to display images of the bottom structure, automatic focus on improving image details. Is a new and better results gray image enhancement algorithms.)

是关于图像的基础操作，包括图像倾斜矫正，图像增强，去除噪声，图像压缩等技术(It is on the image on the basis of operations, including image tilt correction, image enhancement, noise removal, image compression technology)

Relief-F 算法是由 Kononenko 在 Relief 算法基础上扩展得到的，可以用来解决多分类与回归问题。 Relief-F 特征选择算法利用特征与类别间的相关程度判别特征的敏感程度，敏感的特征能使同类样本靠近，非同类样本远离。基本思想是： 先随机从总样本集 D中获取一个样本 R， 然后在 与 R 同类样本集中和与R 异类 样 本 集 中 各 获 取 k 个近 邻 样 本， 在 特 征 集 F中如果某个特征上异类样本的距离大于同类样本，则这个特征是有利于分类的，增加其权重，重复 n 次 取所有结果的均值作为每个特征的最终权重值.

一个简单的图像处理中粗糙度和方向度的MATLAB编程实现，已经通过调试，无误可用(A simple image processing in the direction of roughness and degree of MATLAB programming, has been through debugging, accurate available)

说明：  图像经透镜的相位因子变换后在透镜后的光场分布(The distribution of light field after lens's phase factor transformation after lens.)

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.)