em算法，实现聚类，是k均值算法的拓展，希望对大家能有所帮助...

关于图像变换（裁剪，合并，旋转，镜像，缩放），图像处理（正交变换，卷积，平滑，锐化，边缘检测，边缘增强等），图像特技显示（扫描，移动，百叶窗，马赛克，珊条，渐显渐隐）等功能的图像处理VC++源程序-On the image transform (cut, merge, rotate, mirror, zoom), image processing (orthogonal transform, convolution, smoothing, sharpening, edge detection, edge enhancement, etc.), Image stunt show (scanning, mobile, shutters, mosaic, shan be fade) of the image processing features such as VC++ source code

laplacian pyramid transform

matlab聚类，应用平均值法求新的聚类中心-matlab clustering, the application of the cluster center average method novelty

讲述了指纹登记、注册原理，对研究指纹的朋友有一定的帮助-About the fingerprint registration, register principle, the study of fingerprints has some friends to help

均值滤波对高斯噪声的效果 二维自适应维纳滤波对高斯噪声的滤除效果 对加入椒盐噪声的图像分别作均值、中值和维纳滤波 分别使用二维统计滤波对椒盐噪声和高斯噪声进行滤波 利用wrcoef2函数进行图像去噪-Mean filter on the effect of Gaussian noise two-dimensional Adaptive Wiener filtering of the Gaussian noise filtering effect the image to join Salt and pepper noise, respectively for the mean, median and Wiener filtering respectively, using two-dimensional statistical filtering of the Salt & Pepper noise and Gaussian noise filter the use of image denoising wrcoef2 function

苏珊角点检测很有用，还有详细的说明，希望对大家有所帮助！

对弱小显示的动态目标进行检测，并且添加边缘检测，和加上反色检测-Show that the dynamic of the small target detection, and add edge detection, and combined with the anti-color detection

用于adaboost初学入门,有需要可以看看,比较简单,容易看懂-For the beginner of learning the adaboost

数字摄影测量――影像匹配（单点拉框匹配） 数字摄影测量――影像匹配（单点拉框匹配）-Digital Photogrammetry- image matching (matching a single point of pull box) Digital Photogrammetry- image matching (matching a single point of pull box)

实现数字图像基本处理算法，DImageProcess工程只需载入Bmp格式的文件，便可通过菜单实现各种处理算法， 需要强调一点，其只对256色格式的图片进行处理。包括图像增强，边缘检测与图像分析，图像的压缩编码，以及数学形态学等等，很不错的。-The realization of the basic digital image processing algorithms, DImageProcess works just loading Bmp format documents, will be able to achieve through the menu of various treatment algorithms, needs to stress that its only 256-color image format for processing. Including image enhancement, edge detection and image analysis, image compression coding, and mathematical morphology, etc., very good.