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将源图像做高斯卷积，以光滑化源图像，用于图像的预处理(source image makes convolution with gauss so as to smooth the image as a preprocess.)

graphcut的最新改进，在网格上应用graphcut，作者将其称为gridCut,此压缩包内含文章与源代码，出自CVPR2012,关注计算机视觉的同学可以详细参考，代码已调试通过(the new advance of graphcut, named gridCut, derived from CVPR 2012, useful to guys on ComputerVision.The code is runnable.)

alpha稳定分布噪声的matlab实现(alpha stable distribution noise matlab implementation)

经典的图像处理常用图片，包括Lina，Barbana, Cameraman(Classic image processing commonly used pictures, including Lina, Barbana, Cameraman)

我从网上经过搜索和整理得到了大家想要的图像处理类：CImageObject，这个类库中包含了两个完整类：CImageObject类和ImageLoad类，包中也包含有*.h,*.lib,*.dll等相应的文件。相信你一定用得着！它们可以处理BMP、GIF、PCX、TGA、JPG、TIF格式的图像文件。(I am from the Internet after a search and organize by the U.S. want to deal with categories of images: CImageObject, this library contains two types of integrity: CImageObject category and ImageLoad category, the package also contains*. h,*. lib,* . dll, such as the corresponding documentation. Trust that you will certainly need it! They can handle BMP, GIF, PCX, TGA, JPG, TIF format image files.)

维纳滤波和均值滤波，及利用自适应维纳滤波的图像去噪MATLAB代码，效果优于维纳滤波(Using adaptive Wiener filtering for image denoising MATLAB code, the effect is better than Wiener filtering)

利用fastICA算法实现了两幅图像的分离。内附源图像文件（两种）。同时还利用峰值信噪比PSNR和性能指标PI实现了对分离效果的评价。原创代码。(fastICA algorithm is uesd in seperating the mixed images.)

说明：  二进小波变换的图像增强,matlab代码(Dyadic wavelet transform image enhancement, matlab code)

复杂场景中的红色交通标志牌检测与识别，结合颜色与圆形的标志牌定位，然后提取特征，最后用模板匹配的方法实现识别，内附图片和程序说明，对初学者有帮助(Red detection and recognition of traffic signs in complex scenes, the combination of colors and circular signs positioning, and feature extraction, the last with template matching methods to achieve recognition, included pictures and a description of the procedures for beginners)

说明：  LBP算法实现图像的纹理分类，基于论文：multiresolution gray scale and rotation invariant texture classification with location binary patterns(LBP algorithm to achieve image texture classification, based on the paper: Multiresolution gray scale and rotation variant texture classification with location binary patterns)