ellipse-detection-algorithm

【实例简介】

说明：  1.学习使用fft2,ifft2,fftshift,ifftshift函数。用fft2函数对”lena.bmp”做二维傅立叶变换，并显示其频谱，用fftshift函数将频谱坐标原点移动到图像中心。用ifft2函数做傅立叶反变换。（提示：显示频谱时，可以先对频谱取对数，这样可以压缩动态范围很大的频谱，获得更好的显示效果）(1. Learn to use fft2, ifft2, fftshift, ifftshift functions. With the FFT 2 function, the lena.bmp'The two-dimensional Fourier transform is performed and the spectrum is displayed. The origin of the spectrum coordinate is moved to the center of the image by using the FFT shift function. The inverse Fourier transform is done with ifft2 function. (Note: when displaying the spectrum, the logarithm of the spectrum can be taken first, so that the spectrum with a large dynamic range can be compressed to obtain better display effect.))

用斯托克斯矢量法，计算偏振度图像和偏振角图像，方便进一步处理。(Degree of polarization and angle of polarization calculating)

这是典型的图像分割Livewire算法的源码 结合OPENCV，配置一下就可以用了(This is a typical source image segmentation algorithm Livewire combination OPENCV, can be used to configure what)

fcm医学图像分割算法，适应于不规则医学图像的分割，已经调试成功，可以运行，很好。相信会对您有帮助。(fcm medical image segmentation algorithm, adapted to irregular medical image segmentation, has been successful debugging, you can run, very good. Believe will help you.)

基于MALTAB实现的舌象纹理特征提取，程序不大但是使用(ongue like texture feature extraction matlab implementation tongue like texture feature extraction matlab implementation)

demons算法用来实现图像的配准，特别是医学图像的配准，已经达到了很高的精度(demons algorithm is used to achieve image registration, especially in medical image registration, has reached a very high accuracy)

使用马尔可夫随机场进行图像分割，包括标记场、特征场建模和参数估计等，程序可运行。(image segmentation Using Markov random field , including label Field, features field modeling and parameter estimation, the program can run.)

一种最新的点云邻域尺寸的选择方法，对点云后续处理，包括特征提取、点云分类等有很大的帮助(One of the latest point cloud neighborhood size selection method for point cloud subsequent processing, including feature extraction, point cloud classification is very helpful)

*****将picture内的所有文件拷贝到MATLAB7.1软件下的名为word的子文件夹下********** 1.testpipei_1.m文件为基于灰度的模板匹配代码，仅为单独使用，不具有交互性 2.testpipei_2.m文件为基于灰度的快速模板匹配代码，仅为单独使用，不具有交互性 3.three.m为带有界面的演示程序，包含了上述两种算法，在MATLAB7.1中，在命令窗口下输入 edit three （three文件一定要在work文件夹下）回车后就可以进行使用了。 4.testpipei_1.m和testpipei_2.m的函数使用说明详细见各自的文件内 5.testpipei_1.m,testpiei_2.m,getOrder.m,gettezheng.m都为函数文件 three.m和three.fig共同为演示界面文件。 (Using MATLAB to image matching two images)