1708.06814

PIV实验结果后处理,速度场，涡量场，应力场(The postprocessing of PIV observations)

能量熵的计算，FMCW调频连续波雷达的测距测角，完整的图像处理课设，包含所有源代码，汽车图像。( Energy entropy calculation, FMCW frequency modulated continuous wave radar range and angular measurements, Complete class-based image processing, contains all of the source code, auto image.)

这是本人做的本科毕业设计，被评为优秀毕业论文，用matlab编写的基于图像处理的纸牌识别系统(This is I do undergraduate course graduation design, evaluated the outstanding graduate thesis, with matlab based on image processing the card identification system )

直线段检测算法EDLines C++实现(EDLines C++ Opencv lins segment detection)

本代码是用Matlab实现图像的超分辨率重建，方法为凸集投影法，能从多幅低分辨率图像重建一幅高分辨率图像。(We use Matlab to reconstruct image. The method is convex projection on suoer-resolution(POCS).)

使用高斯消去法的AVO参数反演程序，可以检索模型层数，十分方便实用。(Using the Gauss elimination of the AVO parameter inversion procedure, you can retrieve the model layer, very convenient and practical.)

曲面拟合法是一种高精度、计算量小、抗噪性能强的方法，当前已被广泛地应用于 各种场景。比如岩石材料的变形测量、电子器件变形的测量、基于掌纹图像相关匹 配的重复定位技术等。曲面拟合法能够成功计算出亚像素位移的前提是整像素搜索阶 段可以正确搜索出模板的整像素匹配点，一旦整像素匹配点搜索出现错误，那么亚像素 测量阶段所得到的位移距离就会失去意义。 使用不同的拟合函数对相关系数矩阵进行曲面拟合，会对结果产生一定的影响，比 较常用的拟合函数有二次函数、三次函数、高斯函数等。(Surface fitting method is a high-precision, computational complexity is small, strong anti-noise performance method, has been widely used in various scenes. For example, deformation measurement of rock materials, deformation measurement of electronic devices, and repetitive location technology based on palmprint image correlation matching. Surface fitting method can successfully calculate the sub-pixel displacement on the premise that the whole pixel search stage can correctly search the template of the whole pixel matching point, once the whole pixel matching point search error, then the sub-pixel measurement phase of the displacement distance will be meaningless. Using different fitting functions to fit the surface of the correlation coefficient matrix will have a certain impact on the results. The commonly used fitting functions are quadratic function, cubic function, Gaussian function and so on.)

M-s中的CV方法( CV)

线性CCD大津动态自适应阈值二值化源程序(Linear CCD dynamic adaptive threshold binarization dajin source program)

本程序是基于二维最大熵的灰度图象分割，它考虑了两方面的因素：点灰度和邻域平均灰度。()