Zernike

说明：  图像频域处理 CT技术与图像的重建 通过一维投影复原二维图像 Matlab实现 (Frequency domain image processing and image reconstruction of CT one-dimensional projection by Matlab to achieve two-dimensional image restoration)

CRF（条件随机场）的程序包，用于图像分析（恢复，分割），对图像进行建模(CRF (with the conditions of the airport) package for image analysis (restoration, segmentation), the image modeling)

说明：  用labview实现图像的二值化，通过把图片转化为二维数组，通过和阈值比较把图像二值化(Achieved with labview binary image by the image into a two-dimensional array, and the threshold value by comparison to image binarization)

SURF Feature is an algorithm that is used in the object recognition please see the source code

脉冲耦合神经网络进行图像分割的matlab程序，利用PCNN点火捕获的相似性集群特性进行图像分割(Pulse Coupled Neural Net)

说明：  本代码总结了信息熵、条件信息熵、PSNR、SSIM等图像评价指标(This code summarizes information entropy, conditional information entropy, PSNR, SSIM and other image evaluation indexes)

编程实现二维8*8图像块的DFT，DCT变换 输入一副RGB图像，将其转化为YCbCr颜色空间，然后对Y分量做分块DFT变换，保存为灰度图像，统计计算时间 编程实现8*8块DCT变换,然后分别显示，当使用64个DCT系数里面的一些系数进行重构，比较其质量；同时熟悉采用FFT来实现DCT变换的思想，并显示2维8*8DCT变换的基函数图像(Programming the DFT, DCT transform of two dimensional 8*8 image block Input a pair of RGB images, transform it into YCbCr color space, then divide the Y component into block DFT transform, save as gray image, and calculate the calculation time The 8*8 block DCT transform is implemented by programming, and then it is shown that when using some coefficients in 64 DCT coefficients, the quality is reconstructed. Meanwhile, the idea of DCT transformation is familiar with FFT, and the base function image of the 2 dimensional 8*8DCT transform is displayed.)

GM(1,1)的程序,要用就下啥,可以预测的,里面有详细的说明,很容易看懂的！,(GM (1, 1) program, want to use is what, predictable, there are detailed instructions, it is easy to understand!)

matlab编写的纹理图像分割 gussian滤波后k-means聚类 并将不同区域用线条表示出来 除m程序还包括测试图片、pdf文件、ppt文件、doc文档(matlab prepared texture image segmentation gussian filtered k-means clustering in different regions and lines that come out with the exception of m program also includes test pictures, pdf file, ppt file, doc file)

此ransac为图像匹配的一个重要环节，可以实现更复杂的图像匹配(The RANSAC is an important part of image matching, the image can be more complex matching)