Tthreelevel222

一种基于图像特征点提取及匹配的方法 (A method based on image feature extraction and matching)

实现脊线提取，处理信号工具，基于小波变换，可以进行脊线提取(Ridges extraction and signal processing are implemented. Ridge extraction can be done based on wavelet transform.)

说明：  MATLAB图像处理源程序4： P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象 (MATLAB image processing source code: P0401: Prewitt operator to detect image edge P0402: different sigma value LoG operator image edge detection P0403: Canny operator to detect image edge P0404: image thresholding segmentation P0405: water of line thresholding segmentation image segmentation P0406: matrix quadtree decomposition P0407: image into text and non-text two categories P0408: morphological gradient detection Binary Image Edge P0409: morphological instance,- Images from the PCB Remove all current lines, retaining only chip targets)

遗传算法解决作业车间调度问题，,这一M文件计算目标函数值。(Genetic algorithms to solve the job shop scheduling problem,, the M-file to calculate the value of the objective function....)

通过虚拟阵元进行DOA估计，包括面积、周长、矩形度、伸长度，合成孔径雷达（SAR)目标成像仿真，matlab编写的元胞自动机，数学方法是部分子空间法。(Conducted through virtual array DOA estimation, Including the area, perimeter, rectangular, elongation, Synthetic Aperture Radar (SAR) imaging simulation target, matlab prepared cellular automata, Mathematics is part of the subspace.)

傅立叶变换和频域滤波相关方面的代码程序，已经通过运行。(Fourier transform and frequency domain filtering code in the program has been run.)

卡尔曼滤波，本例程实现了利用卡尔曼对数据的处理(Kalman filtering, Kalman realized this routine data processing)

这是在MATLAB下编写的基于彩色条纹的相位测量轮廓术的源码,很实用.,在光学三维测量中(This is prepared in MATLAB based on the color stripe phase measuring profilometry of the source, it is practical., In the three-dimensional optical measurement)

平凹腔激光模式计算程序，利用边界元方法计算，matlab编程！(concave cavity laser mode procedures, the use of the boundary element method, the Matlab programming!)

卡尔曼滤波的基本原理，有利于对卡尔曼滤波有更深一步的理解(The basic principle of the Kalman filter, it is beneficial for a deeper understanding of thethe Kalman filter. )