信号检测与估计理论

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).)

两幅图像中有重叠部分，通过数字图像相关算法可以找到两幅图像相同的点(using matlab to match the corresponding piexls in the two images)

压缩感知重建算法,利用压缩感知理论实现用较少的采样量恢复出高分辨率的图像信息(compressive sensing reconstruction algoriyhm)

首先通过建立一个可靠的背景更新模型，然后在视频序列中取一帧图像与背景做差得到完整可靠的运动目标图像(This program is used to detect the moving targets by image substraction ,)

说明：  基于radon正反变换的抛物线型多次波去除(Removal of parabolic multiple waves based on Radon transform)

1 完成图象处理的基本功能2：二值化、边缘检测、滤波。 2 熟悉dc的部分常用功能，学习图标控制弹出框。(a complete image processing of the two basic functions : values, edge detection, filtering. 2 familiar with the dc part of the commonly used function, learning to control pop icon frame.)

matlab图像处理中中加入椒盐噪声的源代码。(add salt and pepper noise matlab source code.)

SAR图像的去噪，包含lee滤波器，frost滤波器，kuan滤波器，并且自己编写的信噪比函数(SAR image denoising, including lee filter, frost filter, kuan filter, and I have written a function of SNR)

数字水印技术检测，可以对图像加入水印或者从图像中检测出水印(digital watermark detection technology, the image watermarking or from the images detected watermark)

运动模糊图像的复原，涉及运动图像的模糊方向和模糊尺度的确定，然后运用维纳滤波(motion blur image recover)