RBM

说明：  多种图像去雾算法（何晓明暗通道去雾，基于中值滤波去雾，基于均值滤波去雾，基于导向滤波去雾，多色彩空间去雾）(A variety of image defogging algorithm (Xiaoming dark passage to fog, based on median filter to fog, defogging based on mean filter, filter-based guide to the fog, multi-color space to fog))

非常好的纹理分割，区域分割的matlab源代码，可用(Very good texture segmentation, region segmentation matlab source code can be used)

说明：  实现基于卡尔曼滤波器的多目标跟踪，可进行相关了解与研究(object tracking based on kalman)

压缩感知中的梯度投影重构算法，经修改可以运用与单像素相机成像(Gradient projection reconstruction algorithm of compressed sensing, modifications can be used with single pixel camera imaging)

序列图像中运动小目标检测跟踪，实用性很强，张天序教授的硕士生撰写的学位论文(Image sequences small moving target detection and tracking, very practical, Professor Zhang Tianxu of graduate students writing dissertations)

视网膜血管检测的Gabor变换和机器学习，教程 本教程将演示如何Gabor变换和广义 的线性模型（GLM）可用于视网膜血管检测 图像。 ，我们将尝试检测视网膜血管从 的训练图像，首先，Gabor滤波器与图像卷积。 GLM将使用Gabor变换的图像特征确定 （独立变量）和容器的位置 为结果（因变量）。( Retinal Vessel Detection by Gabor Transform and Machine Learning, a Tutorial This tutorial will demonstrate how Gabor transforms and generalized linear model (GLM) can be used for detection of retinal vessels in images. Specifically, we will attempt to detect the retinal vessels a training image , by first, convoluting multiple Gabor filters with the image. A GLM will be determined using the Gabor transformed images as features (the independent variables), and the locations of the vessels as the outcome (the dependent variable).)

IEEE:数字水印技术引论，其中将达哦水印技术的引出、算法发展、引用等(IEEE: primer on digital watermarking technology, which will lead to Oh watermark technology, algorithm development, quoted, etc.)

对流层与电离层中电波传播的相关问题研究,很好的文章(Troposphere and ionosphere wave propagation issues related to research)

形态学pathopenings的实现，对线特征提取等图像处理有令人惊奇的效果。(Morphological pathopenings the realization of the line feature extraction and other image processing have surprising effects.)

偏微分方程图像复原代码，其中有频域迭代盲解卷积H1模型，TV去噪模型，自己编的自适应去噪模型，以及改进的自适应去噪模型，令附卫星图片，PSNR代码(Image restoration code of partial differential equations, including iterative frequency-domain blind deconvolution H1 model, TV denoising model, made themselves adaptive denoising model, and improved adaptive denoising model, so attached to satellite images, PSNR code)