FFTIFFT

在自动化生产线VC开发的运动控制机器视觉程序，XYZ三个轴有PCI板卡控制，视频卡采集图像后经算法处理找到图像的点，VC控制步进电机到加胶位置加胶，在机器上运行每日点胶100000次无故障(VC development in automated production lines motion control machine vision program, XYZ three-axis control with a PCI card, video card capture images after processing algorithm to find the image of the point, VC controlled stepper motor to position plus plus glue glue on the machine run the daily dispensing 100,000 times without failure)

很好的mATLAB代码，利用最大交叉熵，确定迭代次数，完成pcnn脉冲耦合神经网络的图像分割，效果很好(MATLAB good code,the use of maximum cross entropy, determine the number of iterations, complete PCNN image segmentation,result is good.)

采用协方差的方式计算相关系数，分析图片的相似性，然后对图像进行匹配(The covariance of the way of calculating the correlation coefficient, and analyze the image similarity, and then to do image matching )

这是一段视频分割的源代码 效果比较好 希望对大家有帮助(This is a video segmentation of the source code for the effect we hope to help)

说明：  傅里叶谱与频域低通滤波 (a)从图书网站下载图4.41(a)并计算其(居中)傅里叶谱。(b)显示频谱。(c)在等式(4.8-7)中实现高斯低通滤波器。您必须能够指定结果2D函数的大小，M x N。此外，您必须能够指定高斯函数的中心位置。(d)从图书网站下载图4.41(a)，并对其进行低通滤波，以复制图4.48中的结果。(Fourier Spectrum and Lowpass Filtering in Frequency Domain (a) Download Fig. 4.41(a) from the book web site and compute its (centered) Fourier spectrum. (b) Display the spectrum. (c) Implement the Gaussian lowpass filter in Eq. (4.8-7). You must be able to specify the size, M x N, of the resulting 2D function. In addition, you must be able to specify the location of the center of the Gaussian function. (d) Download Fig. 4.41(a) from the book web site and lowpass filter it to duplicate the results in Fig. 4.48.)

说明：  使用LazySnapping算法对GrabCut算法进行改进(There are advanced segmentation algorithms in the literature which extends the concepts of graph cuts. Most prominent of them are Graph cuts and Lazy Snapping. Lazy napping is an interactive image cut out tool. Lazy Snapping separates coarse and fine scale processing, making object specification and detailed adjustment easy.)

说明：  用matlab实现的insar处理软件。(Using matlab to achieve the InSAR processing software.)

压缩包中的算法使用moment matching和MLE估计矩阵的广义高斯分布参数，推荐一下。(Compression package using the moment matching algorithms and the estimated matrix of MLE parameters of generalized Gaussian distribution, recommend.)

车型识别图像处理MATLAB代码可运行适合新手入门只用(car recognization adapted rookie study playplay)

实例如图所示