一个好的形态学图像处理例程，结合OpenCV的使用会…

本程序采用综合多种图象处理方法对输入彩色图象进行增强处理,处理速度快. -this programme is used some kind of methods to enhance the imput color image

一种基于相位的光流计算方法，该方法不同于以往基于微分的计算方法，而是采用空间滤波器，取得非常好的效果。该结果发表于IEEE Trans. Neural Networks,13(5), 1127--1136. -Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering, IEEE Trans. Neural Networks, 13(5), 1127--1136.

Visual C++MATLAB图像处理与识别实用案例精选之　图像旋转　算法的源程序，含标准测试图片-Visual C MATLAB image processing and recognition of practical cases selected images rotation algorithm source files, including standard tests Photo

PixelFusion工程实现图像融合,PixelFusion工程程序运行时，用户须载入两幅图片，其中全色图像选择给定的图片spot.bmp， 而多光谱图片则为给定的图片tm.bmp。而后用户便可选择各种融合算法进行融合处理。-PixelFusion works to achieve image fusion, PixelFusion project is running, users have to load two images, one full color image to choose a given picture spot.bmp, and multi-spectral images for a given picture tm.bmp. Then the user can choose a variety of fusion algorithm fusion treatment.

拉普拉斯变换是图像处理中常用的一些算法，该算法是用c语言实现的。-Laplace transform is commonly used in image processing of some algorithm, which is the c language.

针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提 出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理进行描述 然后进行基于区域生长的扩张检 测,得到纹理单一图像块 最后对图像块进行整体匹配,得到纹理单一区域的稠密视差图。对国际标准图像进行测试, 结果表明该算法能提高纹理单一区域稠密视差图的精度,具有实用价值 -Due to the difficulty of getting disparity of less textured pixels with traditional approach, block matching algorithm with texture analysis was put forward. First, the images were described by LBP/C texture analysis. Then the expansion detection based on region growing was performed, and the less textured blocks were acquired. Finally the dense disparitymap of less textured area was obtained through block matching. The proposed algorithm was tested with the international standard image data and comparedwith some existing algorithms. The experimental results show that the proposed algorithm can improve the accuracy of disparitywhen handling less textured areas and can be used in practic

fkm算法实现，主要应用于图像处理，数据挖掘 -FKM algorithm, mainly used in image processing, data mining

在VC++环境下运行的 对24位位图进行腐蚀膨胀 开运算 闭运算 算法的完成程序 可以直接运行 查看效果图-In VC++ Environment running on 24-bit bitmap to corrosion expansion of open computing algorithm for computing closed to complete the process can directly view the effects of plans to run

可用于图像的灰度修正，图像平滑及中值滤波及图像锐化等。-Can be used to image gray-level correction, image smoothing and median filtering and image sharpening and so on.

YUV422 convert to YUV420