矩阵光学仿真3D模型微镜阵列成像-20180105-0111

说明：  python语言，三种阈值分割方式，简单阈值分割，自适应阈值分割，OTsu分割方式(Python language, three methods of image segmentation , simple threshold segmentation, adaptive threshold segmentation, OTsu segmentation)

说明：  一个去除恶略天气状况的去噪程序，可以去除大雨中的雨点，还原原图像(A slightly weather conditions to the evil forces of the de-noising procedure, can remove heavy rain in the rain, to restore the original image)

用于立体图像质量评价的无参考图像质量评价程序，运行在matlab环境下。(A no-reference image quality evaluation program for the quality evaluation of stereoscopic images, running in the MATLAB environment .)

说明：  这个是在运行的时候为了调试而写的，主要应用的场合是循环多，跟踪不方便的时候，记录到日志，引用了一个单元Unit_HBase,Unit_LogSp，已上传(this is the time to run the debugger and writing, the main application is a revolving occasions, tracking inconvenient time to record log, quoted a unit Unit_HBase, Unit_LogSp, uploaded)

说明：  图像预处理以及提取图像的Tamura 纹理特征(Image preprocessing and Tamura texture feature extraction)

采用片条理论进行机翼的颤振分析，匹配点和非匹配点分析(Carried out using strip theory wing flutter analysis, matching and non-matching point analysis points)

Matching Pursuit 算法，该算法能够把Gabor原子集合，用线性组合表示，能够降低运算量。(Matching Pursuit algorithm, which can Gabor atomic collection, using a linear combination that can reduce computational complexity.)

说明：  实现了一个二维小波分解、重构程序，对一副16*16的数字图像进行了二层小波分解和重构。(A two-dimensional wavelet decomposition and reconstruction program is implemented, and a 16*16 digital image is decomposed and reconstructed by two-level wavelet.)

超像素分割方法，在计算机视觉领域，图像分割（Segmentation）指的是将数字图像细分为多个图像子区域（像素的集合）（也被称作超像素）的过程。超像素有一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息，且一般不会破坏图像中物体的边界信息。(Super pixel Segmentation method, in the field of computer vision, image Segmentation, Segmentation) refers to the digital image Segmentation region for multiple image sequence (the set of pixels) (also known as the pixels) process. Adjacent pixels have a series of position and features such as color, brightness, texture similar to that of small region composed of pixels. Most of these small area retains the further effective information for image segmentation, and generally does not destroy the boundary of the object in the image information.)

一个非常好的粗糙集的代码-希望对大家学习提供参考(Rough set a very good code- I hope to provide reference for all of us to learn)