AVOfanyan

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.))

说明：  双目测距bm算法，已经实现,基于vs2015+opencv3.2,测距精度很高，一米内精度一厘米误差(Binocular ranging bm algorithm, which has been implemented, is based on vs2015 + opencv3.2, which has high accuracy and one centimeter error in one meter)

粒子滤波算法，综述，学习文档以及算法程序，包括PF,EKPF,UKPF，以及不同的重采样方法(This file is about algorithm of particle filtering, including codes and tutorial.)

说明：  一个立体系统相机标定，立体图像校正以及三维三角测量的多功能matlab工具箱。压缩包中包括一个PDF说明文档，和一个带有实验用图像的matlab程序压缩包。(A three-dimensional system, camera calibration, stereo image correction, as well as three-dimensional triangulation of multi-function matlab toolbox. Compressed package includes a PDF documentation, and one with an experimental image compression package matlab program.)

jpeg图像压缩和解压缩过程，使用的哈弗曼表包含于程序中，内有详细的文件说明(jpeg image compression and decompression process, the use of Huffman tables included in the program, with detailed documentation)

cbir matlab code gui, for retri image

说明：  该程序采用一种简单的算法对图像进行直方图均衡化，对图像均衡化有一定的作用(The program uses a simple algorithm of image histogram equalization on the image equalization to a certain extent)

垂直投影算法。可以直接在matlab上跑(err)

该基于区域生长法的程序主要用于虚警目标的去除，也可用于对二值图像各块区域面积的计算。(The region growing method based on the procedures used to target the removal of false alarms can also be used for binary image of the block area calculations.)

适合初学小波的同志，小波图像增强原理底层。严格高低频分解重构，没有使用小波工具库。(Suitable for beginners wavelet comrades, the underlying principle of wavelet image enhancement. Strict high-low-frequency decomposition of reconstruction, did not use the wavelet tool library.)