图像处理

差影法去背景---部分测试，感觉还行，与大家分享，呵呵差影法去背景(Poor background--- Shadow law to some of the test, I feel also visit to share with you, huh, huh difference method to the background shadow)

说明：  应用gibbs随机场进行图像分割。效果较好。希望对大家有所帮助。(use gibbs image segment.wish it will help everyone.)

对于图像进行ANORLD变换，在图像嵌入水印的过程中，可以对要嵌入的水印图像先进性置乱操作，可以有效地抵抗剪切攻击(For images ANORLD transform, watermark embedding in the image of the process, can the watermark image to embed the advanced nature of the scrambling operation, can effectively attack the shear resistance)

基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均 匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后 采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和 噪声）。(In this paper, we propose a novel method for solv- ing single-image super-resolution problems. Given a low-resolution image as input, we recover its high- resolution counterpart using a set of training exam- ples. While this formulation resembles other learning- based methods for super-resolution, our method has been inspired by recent manifold learning methods, par- ticularly locally linear embedding (LLE). Speci?cally, small image patches in the low- and high-resolution images form manifolds with similar local geometry in two distinct feature spaces. As in LLE, local geometry is characterized by how a feature vector correspond- ing to a patch can be reconstructed by its neighbors in the feature space. Besides using the training image pairs to estimate the high-resolution embedding, we also enforce local compatibility and smoothness con- straints between patches in the target high-resolution image through overlapping. Experiments show that our method is very ?exible )

自适应门限二值化图像处理，自己最近完成的，还可以用，文件也加了两张图的效果，需要的可以试一试(Adaptive threshold binarization image processing, recently completed its own, but also can be used, the document also increase the effectiveness of the two plans, the needs may try it)

这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值！！( ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techniques are available: - Principal Component Analysis ( PCA ) - Linear Discriminant Analysis ( LDA ) - Multidimensional scaling ( MDS ) - Probabilistic PCA ( ProbPCA ) - Factor analysis ( FactorAnalysis ) - Sammon mapping ( Sammon ) - Isomap ( Isomap ) - Landmark Isomap ( LandmarkIsomap ) - Locally Linear Embedding ( LLE ) - Laplacian Eigenmaps ( Laplacian ) - Hessian LLE ( HessianLLE ) - Local Tangent Space Alignment ( LTSA ) - Diffusion maps ( DiffusionMaps ) - Kernel PCA ( KernelPCA ) - Generalized Discriminant Analysis ( KernelLDA ) )

我做的课题的响应信号，做了响应的小波包能量分析，希望对大家有帮助(I do issue a response signal, so the response of the wavelet packet energy analysis, we want to help)

利用Matlab编写的基于hough变换的椭圆检测程序，已经运行过的，附图(Written in Matlab, hough transform based ellipse detection procedure has been run off, with photos)

用C++编写的产生文章的程序，方便有需要的人(C generated articles prepared by the procedures that are accessible to people in need)

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))