circle-detection

视频图像处理，采用背景减除法中混合高斯建模进行视频前景和背景的分离(Video image processing, background subtraction method using Gaussian mixture modeling to separate the foreground and background video)

图像增强里的小程序，有中值滤波，平滑处理还有频域增强(Image Enhancement in the small procedures, median filtering, smoothing also enhanced the frequency domain)

圆形，孔型工件的尺寸测量，主要采用canny算子检测边缘，并进行亚像素细分，还有GUI，测量精度在0.1mm(Circular hole workpiece size measurement using canny operator edge detection and subpixel, as well as GUI, measurement accuracy of 0.1mm)

能计算图像的灰度直方图，及其对应的灰度均值(calculate means ，variance，bins)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SL0算法，对256*256的lena图处理，比较原图和SL0算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and SL0 algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using SL0 algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

幻方的构造及幻方实现的程序，对于其他双偶阶的幻方，只是在作‘*’标记时，应把4N阶方阵分为N个4阶方阵进行标记，数字填入仍按从左到右，自上而下填入(Magic Square and the magic square implementation procedures for other pairs of even order magic square, just as ' *' mark should be put into N 4N square matrix of order 4 squares labeled, digital still fill left to right, top to bottom fill)

实现图像配准和计算配准均方根误差的功能，人工选取控制点，包括四种转换方法。(Achieve image registration and registration RMSE calculation function, manual selection control points, including four kinds of conversion methods.)

针对各类分数阶混沌系统进行同步，数值仿真结果证明系统的稳定性(Numerical simulations show that the system is stable for all kinds of fractional order chaotic systems.)

这里包含了曲线波变换用于图像去噪的一片论文以及翻译，这是本人亲自翻译排版的，希望对大家有用(This includes the curvelet transform for image denoising is a piece of paper and translation, this is a personally Translation Publishing, I hope useful for everyone)

用自相关法 来实现图像匹配，非常好用，值得一试(Autocorrelation method to achieve the image matching, very easy to use, it is worth a try)