axumtqtv

OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.

哈夫变换检测圆，，检测一个半径为80，灰度值为160的圆，它处在灰度值为96的背景中(Hough transform to detect circles, and testing a radius of 80, round gray value of 160, it is in the background gray value of 96)

用MATLAB实现图像的离散余弦变换，程序运行结果表明离散余弦变换能够起到压缩图像的目的。(in order to compress the bite of pictur,the program use the DCT to compress.)

This is the demo file for L1 adaptive controller with unknown parameter, unknown disturbance, unknown control effectiveness: dot x(t) = Ax(t) + b(omega u(t) + heta(t)^ op x(t) + sigma(t)) DoSims.m: This script initializes the model parameters, run the simulation. You can split the parts you need and do the simulations according to your interest. L1Model_sec2.mdl:the implementation of the system. Refer to the following paper for background: C. Cao, and N. Hovakimyan, “L1 adaptive controller for systems with unknown time-varying parameters and disturbances in the presence of non-zero trajectory initialization error”, International Journal of Control, Vol. 81, No. 7, 1147–1161, July 2008

采用m文件编写的MATLAB程序，此文件实现四杆机构的动画，其中M点实现直线运动(linear motion with matlab)

1、对观测数据进行卡尔曼滤波，得到预测的航迹以及估计误差的均值和标准差 2、返回值包括滤波预测后的估计航迹,以及均值和误差协方差(1, the observed data, the Kalman filter, to get the track and the estimated prediction error of the mean and standard deviation 2, the return value, including forecasts of the estimated filter track, and the mean and error covariance)

说明：  License from matlab 2017a

3阶iir滤波器设计，不采用matlab自带的滤波子程序，完全自己编写程序，可以十分方便的转化为c语言。(3-order IIR filter design, do not use built-in filtering matlab Subroutine entirely their own programming, can be transformed into a convenient c language.)

二维功率谱密度换算一维功率谱密度的程序,对表面质量的计算尤为使用(two dimensional power spectral density to one dimensional psd)

利用人脸的灰度值的不同可以高效识别人脸区域以及定位的功能，以及可以识别非人脸(The use of human faces of different gray value can be efficient to identify human faces as well as the positioning function of the region, as well as to identify non-human face)