matlab-eyes--detected-code

自己做的3-PSS并联机器人可达工作空间绘制的MATLAB程序， workspace_main.m为主程序，在MATLAB中进入解压缩后的文件夹并运行workspace_main即可完成绘图。 另外Trirspace.m为3-RRR平面并联机器人可达工作空间的绘图程序，调用方法相同。(The 3-PSS parallel robot designed by myself can reach the MATLAB program drawn in workspace. The workspace_main.m is the main program. The drawing can be completed by entering the decompressed folder in MATLAB and running workspace_main. In addition, the drawing program of 3-RRR planar parallel robot reachable workspace is called by the same method.)

有关于求取图像平均梯度的matlab M 文件；可以为你省去那么一点时间。 ———共享改变未来！———(To strike the image on the average gradient matlab M documents can save you a bit of time.--- Shared change the future!---)

图像修复的改进算法，RPCA算法程序代码，实现图像的去噪和复原(Improved algorithm of image restoration, RPCA algorithm program code, to achieve image denoising and restoration)

这个程序是马尔可夫的图像分割程序 对于初学者学习马尔可夫分割图像有帮助(This program is a Markov image segmentation program for beginners to learn Markov image segmentation helpful)

说明：  图像特征提取，不变矩。hu矩。f1~f7.用于物体识别。(hu)

用lbp实现纹理特征提取，并分类说明: 一共有三个m文件，一个是lbp.m, 存放主要的lbp算法， 一个是getmapping,用以做算法的辅助函数， 一个是lbptest.m,存放着测试代码。 这三个文件需要放到同一个文件夹，并在文件夹中添加相应的图片， 具体的图片名字见lbptest.m的代码，运行lbptest.m可以查看结果。代码最后给出效果图 这三个文件是最传统的LBP方法，有256种。(With lbp achieve texture feature extraction and classification Description: A total of three m files, one is lbp.m, store the main lbp algorithm, One is getmapping, helper functions for doing arithmetic, One is lbptest.m, kept the test code. These three documents need to put the same folder, and add the appropriate folder, pictures, See lbptest.m specific name of the picture of the code, run lbptest.m can view the results. Finally renderings code These three documents are the most traditional LBP method, there are 256 kinds.)

This is a Scaling function definition Image cutoff ratio for H = 3

对圆形，正方形，长方形等几何图形进行计算面积，周长等运算(Circular, square, rectangular and other geometric shapes are calculated area, perimeter of operation)

Image processing using sobel operator

仿真一篇国际学会论文。主要是分割粘连细胞图像。(Simulation of an International Society papers. Mainly adhesion cell image segmentation.)