图像去雾

说明：  数字摄影测量中的最小二乘匹配算法，带示例图像(Feature points matching using LSTM)

基于OpenCV实现的图像切割程序，通过程序中参数设置分块的数量和大小(The project is uesd to break an image into block)

Criminisi方法修复灰度图像（单通道）图像(Criminisi algorithm for gray image or single channel image )

滑动聚束FMCW_SAR的子孔径成像算法Spotlight FMCW_SAR sliding sub-aperture algorithm(Spotlight FMCW_SAR sliding sub-aperture algorithm)

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)

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ILRS算法，对256*256的lena图处理，比较原图和IRLS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 IRLS algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using IRLS algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

对SWAN输出文件进行数据处理及图像输出(SWAN output file, data processing and image output)

转载一个基于FCM的图像分割matlab源代码，初学者可以参考。(Reprint of an FCM-based image segmentation matlab source code, can refer to beginners.)

数字图像处理与机器视觉(光盘),共13章源代码(Digital image processing and machine vision code)

说明：  压缩文件中的代码可以读取图片并计算绿色植被的归一化植被指数，直接在IDL中打开即可使用(The code in the compressed file can read pictures and calculate the normalized vegetation index of green vegetation,and you can open it directly in IDL and use it.)