This is a classic for Face Recognition Face database, face recognition and verif...

visual c++数字图象处理典型算法及实现-visual c++ typical digital image processing algorithm and realize

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

中值滤波：采用5*5窗口对噪声污染的图像进行去噪处理。-Median filter: 5* 5 window on the noise pollution to deal with the image de-noising.

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利用VC++和小波变换技术，对动态图像进行处理。-the process of dynamic image

尺度不变特征点(SIFT)检测和匹配算法 需要添加opencv 和GSL库-Scale-invariant feature points (SIFT) detection and matching algorithms need to add opencv and GSL library

这是一个基于opencv的sift算法的实现-This is a sift of opencv algorithm based on the realization of

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

通过遗传算法选择道路图象分割的最佳阈值,阈值的选择采用最大类间方差的办法,程序运行结果达到相当理想的效果-Through the genetic algorithm to choose the best road image segmentation threshold, the threshold was chosen as the maximum between-cluster variance approach, the program results achieved the desired results rather

基于内容的图像检索系统的性能评价标准的研究-Content-Based Image Retrieval System Performance Evaluation Standards