Particle-Algorithm-Status-Trend

图像保重要特征扩散滤波方法之 -非线性扩散,不错的(Image confirmed important feature of diffusion filter method nonlinear diffusion, pretty good)

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.)

基于不精确拉格郞日算子法的低秩矩阵重构程序，可以用于图像分割，将目标图像分割为背景和前景，从而将前景分离出来。(Lagrangian method based on imprecise low rank matrix reconstruction procedures can be used for image segmentation, the target image into background and foreground, which will separate the foreground.)

用于人脸识别边缘检测，实现5个尺度、8个方向的检测。(Edge detection for face recognition)

说明：  数字图像处理的常用算法总结，比如，直方图，直方图均衡化，均值滤波，中值滤波，平滑滤波等。(Commonly used digital image processing algorithms summarized, for example, histogram, histogram equalization, mean filtering, median filtering, filtering and so on.)

用comsol做声固耦合的例子，例子的内容是声子晶体的投射系数，对用comsol来计算声子晶体的初学者很不错(Coupled with comsol said anything solid examples, examples of the content is the projection coefficient of phononic crystals, the phonons with comsol to calculate the crystal is very good for beginners)

基于马尔科夫随机场算法(MRF)的图像分割(Image segmentation of Markov random field algorithm)

利用matlab对已知多对控制点的情况下进行两张图像校正，该算法能够取得较好的结果(Using matlab to correct two images when multiple pairs of control points are known.The algorithm can get good results.)

毕设内容，高光谱图像基本处理，光纤陀螺输出误差的allan方差分析，实现六自由度运动学逆解算法。( Complete set content, basic hyperspectral image processing, allan FOG output error variance analysis, Six degrees of freedom to achieve inverse kinematics algorithm.)

基于形状的灰度共生矩阵的图像检索，利用基元扫描图像(Shape-based image retrieval GLCM, using primitive scanned image)