AGCWD

这是我自己写的关于 图像处理中retinex、SSR、自适应的对比度增强算法的模板，有很好的效果 希望对你们有帮助( this is for retinex module, I wish it can help for you )

关于图像处理的程序，他能实现对裂缝进行自动的提取(About image processing program, he can achieve the automatic extraction of cracks)

根据MPEG7中图像的SCD描述算子，提取图像在HSV空间中的直方图。并且可以与源图像进行比较。(MPEG 7 Scalable Color Descriptor experiment)

细化。通过MATLAB对图像进行细化提取骨架处理，从而方便进行下一分析(Refinement zs appises the Zhang-Suen skeletonization algorithm to image IM. IM must be binary.)

基于小波域的隐马尔可夫树模型的图像去噪方法的实现代码。(Based on the Wavelet Domain Hidden Markov Tree Model Image Denoising realize the code.)

自己编的利用FreeImage库分割图像的程序,可以将一个图片分成5个不同区域的图片,主要用于壁纸分割.(Own use FreeImage library image segmentation procedure, a picture can be divided into five different regions of the picture, the main partition for wallpaper.)

LSB算法实现BMP图片信息的隐藏和提取 语言：C#(LSB algorithm BMP image information hiding and extraction languages: C#)

本文件用matlab 语言，对kalman滤波的方法进行仿真，画出来原始曲线，观察值，和跟踪曲线，会对初学者有很大的帮助！(this document using Matlab language, Kalman filtering method simulation, sketching out the original curve, observed values, and tracking curve, beginners will be of great help!)

基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均 匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后 采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和 噪声）。(In this paper, we propose a novel method for solv- ing single-image super-resolution problems. Given a low-resolution image as input, we recover its high- resolution counterpart using a set of training exam- ples. While this formulation resembles other learning- based methods for super-resolution, our method has been inspired by recent manifold learning methods, par- ticularly locally linear embedding (LLE). Speci?cally, small image patches in the low- and high-resolution images form manifolds with similar local geometry in two distinct feature spaces. As in LLE, local geometry is characterized by how a feature vector correspond- ing to a patch can be reconstructed by its neighbors in the feature space. Besides using the training image pairs to estimate the high-resolution embedding, we also enforce local compatibility and smoothness con- straints between patches in the target high-resolution image through overlapping. Experiments show that our method is very ?exible )

自己曾经做的一个项目，基于几何特征的模式识别。可以有效的识别等边三角形，矩形，六角形 和圆形。 基于c++和OpenCV 编写的程序。是学习OpenCV的好代码。 图像处理&模式识别。(Marksdetection for equilateral triangles,rectangle, regular hexagon, special orthogonal polygons and circles Based on C++ and OpenCV good source code for image processing and mark detection)