NamespaceSupport2

用C charp编写的图像滤镜效果，包括源代码。(Image filter effects)

区域生长算法，通过设置种子点来实现,代码注释完整(region grow algorithm with matlab)

c# 对任意网页进行截图 抓取

基于感兴趣区域图象处理的matlab程序和大家共享 (Region of interest based on the matlab image processing procedures and U.S. share)

改进后的非线性各向异性扩散用于图像中的保边去噪，增加了二阶导数，是滤波效果更好(Improved nonlinear anisotropic diffusion for edge preserving image denoising, an increase of second derivative, is a better filtering effect)

说明：  使用matlab做分水岭算法，分水岭算法是图像分割中常用的算法，算法的理论依据待考究，适用场景可供分析讨论。(watershed algorithm using matlab)

基于DCT变换的彩色图像压缩；本程序的压缩率高，可达16+，图像恢复出来的效果较好(Color image compression based on DCT transform)

classic goldstein filter by matlab for interferogram phase noise filtering(classic goldstein filter by matlab)

基于matlab做的数字水印，文件包括源代码及原图像和加入水印后的图像，经过测试，能有效抗攻击(Matlab-based digital watermarking so that the document includes the source code and the original image and adding a watermark image, tested and effective anti-attack)

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).)