脉冲压缩

基于数学形态学实现振动信号降噪。研究了数学形态滤波器对振动信号在不同类型、不同强度噪声干扰下 的降噪能力，提出了采用开一闭和闭一开组合数学形态滤波器实现旋转机械振动信号降噪处理的方法。通过仿真 计算及实例，检验了形态滤波器的滤波效果，表明数学形态滤波器可以有效剔除脉冲、降低随机噪声干扰，提高 振动信号的信噪比。(The vibration signal noise reduction based on mathematical morphology. Mathematical morphology filter vibration signals in different types, different intensity noise, noise reduction capabilities, proposes using open-closing and close the opening combination of mathematical morphology filter rotating machinery vibration signal noise reduction processing. Simulation and examples, test the morphological filters filtering effect, indicating that the mathematical morphological filter can effectively excluded the pulse, to reduce random noise and improve the signal-to-noise ratio of the vibration signal.)

Contrast Stretching in Matlab

图像处理中用于边缘检测图像的边缘连接和边缘拟合的代码(link edge)

从jd1.ave中读取某一桢图像，并应用dct带通滤波，输出图像为‘source.bmp’(read from a jd1.ave Lo images, and apply Copy-pass filtering, Image output for the 'source.bmp')

说明：  本压缩包主要包括数字图像处理——使用MATLAB分析与实现的源代码(This compression package mainly includes digital image processing - using MATLAB analysis and implementation of the source code)

ant蚁群算法,求解局部或者全局优化问题,(Ant colony algorithm to solve local or global optimization problems,)

利用复小波计算结构相似性,是图像分析相似指数的一种方法。简单易懂！(Complex savelet structural similarity， an image similarity index,it is easy to understand.)

视觉注意机制一种新型的目标检测方法，该文给出了一种比较有效的处理策略(Visual attention mechanism to target a new detection method, the paper gives a more effective treatment strategies)

机器视觉之模糊图像复原，实现inverse Filter, Wiener Filter, Lucy-richardson 算法，里面包括PPT，代码和报告。非常有价值，值得参考！ (Machine vision blurred image restoration, achieve The inverse Filter, Wiener Filter, Lucy-richardson algorithm, which includes the PPT, the code and report. Very valuable and worth considering!)

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.)