Collecting an image acquisition card in a window, thread, continuous display, im...

图像平滑，锐化，形态学变化，边缘检测等功能-image smoothing, sharpening, morphological changes, edge detection, and other functions

利用双缓存的技术实现对图像的显示，克服了图像显示时容易闪烁的问题-cache dual use technology to achieve the right image, overcome the image display easily scintillation problems

this an implementation of the zhang s camera calibration algorithm [1]. it depends on opencv.

基于mutual information的图象配准程序-based on mutual information of the image registration procedures

本文件为印章实现程序，有Ｃ语言实现，欢迎各位下载使用-to seal the document procedures, C language, welcome you download

curvelet变换贝叶斯估计方法，用于估计含噪声图像的噪声参数。再对图像进行去噪处理-curvelet transform Bayesian estimation methods used to estimate the image noise with noise parameters. Re-image de-noising processing

C编写的图象处理程序，包括如图象打开，显示，存储，镜像，滤波等图象处理技术，非常适合初学者。-C prepared by image-processing procedures, including such as the image open, display, storage, mirroring, filtering, image processing technology, is ideal for beginners.

实现了SIFT特征点的提取和匹配功能，匹配算法使用的是ANN最相似最近邻居法。-Achieved a SIFT feature point extraction and matching, matching algorithm using ANN is most similar to nearest neighbor method.

Non-decimated wavelet transform, redundant wavelet transform, stationary ％ wavelet transform-Non-decimated wavelet transform, redundant wavelet transform, stationary wavelet transform

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