ART

这是冈萨雷斯版数字图像处理中的几个函数的实现，包括gmean,以及书中的例题5.7和5.10。(This is the realization Gonzalez version Several digital image processing functions, including gmean, and examples in the book of 5.7 and 5.10.)

北斗二代接收机中的跟踪程序，模块有载波环（二阶FLL，三阶PLL），FLL辅助PLL,码环是用二阶DLL，再用载波环辅助码环(Compass II receiver tracking program, module carrier ring (second-order FLL, the third-order PLL), FLL auxiliary PLL, code ring is by Second DLL, then the carrier ring auxiliary code ring)

利用radon变换进行图像倾斜矫正的算法代码实现(Using radon transform algorithm for image tilt correction code)

very useful toolbox for the matlab user

用于计算图像的频率响应，即SFR或者MTF(Can be used to calculate the image frequency response, namely SFR or MTF )

无线传感器网络，泛洪算法。每一轮次每个节点向中心节点发送数据。最后的生成图像为节点的死亡数。(Wireless sensor networks, the flooding algorithm. Each round, each node sends data to the central node. The final generated image is the node numbers of death.)

高光谱图像的读取程序，在matlab界面直接调用就可以(Hyperspectral image reading program in matlab interface can be called directly)

局部投影去噪 自己编的 调试已经成功 拿来给大家借鉴 对象是混沌信号(Local projective denoising their own series of debugging has been successfully brought to everybody' s reference object is a chaotic signal)

c#编写的图像平滑处理，源码比较全，可以成功编译，希望对大家有帮助。(c# prepared by the image smoothing, source code comparison, can be successfully compiled, we want to help.)

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).)