tidufilter

说明：  SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))

c# 对任意网页进行截图 抓取

说明：  实现旋转运动模糊图像的仿真，采用matlab工具来实现。(emluate rotation blurred images)

Labwindows/CVI实现了常见的数字图形处理算法，如滤镜，正交表换 边缘检测等(Common digital graphics processing algorithms, such as filters, orthogonal change of edge detection)

简单特征提取算法:PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA等，用于图像的特征提取。(simple algorithm feature extraction ,for example: PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA，in order to extract the feature space of image.)

直方图均衡化处理编程指南及实验报告，数字图像处理及应用，阮秋琦教授，北京交通大学（资源分享）。(Histogram equalization processing programming guide and laboratory reports，Application of digital image processing and Beijing Jiaotong University, Professor Ruan Qiuqi)

本程序实现灰度图像各向异性扩散(Anisotropic Diffusion)滤波算法，可以用于平滑信号，保留边缘，增强边缘对比度。与普通高斯Gaussian算法相比，它不会平滑边缘的图像。(The program implements grayscale image using anisotropic diffusion filtering algorithm.It can be used to smooth the signal, keep the edge, enhance the edge of the contrast. Compared with ordinary Gaussian algorithm, it does not smooth the image edges.)

斐波那契数的实现算法及分析,标准化实验报告样本()

可以计算图像的信噪比，适合初学者使用，采用matlab编写(Can calculate the signal to noise ratio images, suitable for beginners to use, using matlab)

形态学pathopenings的实现，对线特征提取等图像处理有令人惊奇的效果。(Morphological pathopenings the realization of the line feature extraction and other image processing have surprising effects.)