强劲的单应符合一套由此而匹配的图像点

强大，真强，数学建模中系统标定的一大堆M源码，好用-Strong, really strong, and mathematical modeling in the system calibration of a lot of M-source, easy to use

这是一个用C++语言实现一个指纹识别程序，要求满足FVC国际竞赛标准，并在学校建立的指纹库上实测。程序里应用到的技术有：中值滤波、直方图均衡化、脊线方向提取、Gabor滤波、指纹细化、特征提取、特征点过滤、基于局部特征点的特征匹配等等…… -This is a C++ language implementation with a fingerprint identification procedure that requires the FVC meet international competition standards, and establish a fingerprint in the school library on the measurement. Program where the technology applied to the following: median filter, histogram equalization, the direction of ridge line extraction, Gabor filtering, fingerprint refinement, feature extraction, feature point filtering, based on local feature points of the feature matching and so on ... ...

都花费在为您修正说 都花费在为您修正说-Are spent on the amendment that you have spent on you to modify, to say

XP风格的自画按钮，非常漂亮，大家可以参考学习-XP style buttons are self-portraits, very beautiful, you can refer to learning

基于小波变换的数字水印论文，四篇，对想学习基于小波的数字水印的比较有帮助。-Digital watermarking based on wavelet transform paper 4, to want to learn digital watermarking based on wavelet more helpful.

可以对图像文件进行处理，采用c#实现，对图像处理的朋友可以-Image files can be processed, using c# to achieve, a friend of the image processing can take a look at

一个兼容性比较好的usb摄像头图像采集源代码，具有很好的应用性-a better compatibility usb camera image acquisition source code, has a good application

期望输出是零延迟尖脉冲的维纳滤波。下下看，用用给反馈。-Desired output is zero-latency spikes of the Wiener filter. Under the circumstances, the use of used to the feedback.

基于MATALAB 数字滤波器设计用巴特沃斯滤波器进行图像滤波-the auto design by matalab in this way

FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition.