yundongtiqu

针对CT 医学图像和MR I 医学图像成像特点, 提出了基于快速整数提升小波变换的融合方法。在CT 和 MR I 两幅医学图像配准的前提下, 利用提升小波变换把图像分解成低频和高频子图像, 对于小波变换后的高频 子图像, 选择区域标准差大的作为融合后的子图像 对于低频子图像, 采用加权融合, 最后进行小波逆变换, 得到 融合后的图像, 并对融合后图像用信息熵、平均梯度、相关系数的指标进行评价。实验结果表明, 基于快速整数提 升小波变换融合中, 小波高低频系数采用不同的规则能够取得更好的融合效果, 其轮廓清晰。该算法能够提升融 合后的医学图像信息量, 同时有效地保护图像的细节信息, 在执行时间和图像质量上均优于普通小波算法。(A imed at the characterist ics of CT andMR Imedical images, a new image fu sion al2 go rithm based on the fast in t lif t ing w avelet t ran sfo rm s is p ropo sed. Two o riginal images are decompo sed by the fast in t lif t ing w avelet t ran sfo rm s. The fu sion ru le based on the max imum standard deviat ion value variance is u sed to fu se the h igh f requency sub2image, w h ile a w eigh t2 ed average fu sed ru le is app lied by coeff icien t s of the low f requency. F inally, the fu sion image is recon st ructed fo r perfo rm ing inverse fast in t lif t ing w avelet t ran sfo rm s. The fu sion image is evaluated by en t ropy, average gradien t, and co rrelat ion coeff icien t s. Experimen tal resu lt show s that the fu sion image hasmo re info rmat ion than o riginal images and imp roves the quali2 ty of o riginal images. M eanw h ile, the fu sion image p ro tect s detail characterist ics of the image, thu s the real2t ime p rocess and image qualit ies are w ell than tha)

數據繪圖時候有時候必須處理資料矩陣轉向，該編碼詳細說明如何處理矩陣在三維度空間下進行轉向，而不是利用Curve Fitting Tools(Data drawing sometimes has to deal with the data matrix steering, which details how to handle the matrix to steer in a three-dimensional space instead of using Curve Fitting Tools)

gabor滤波，优点是分析周围的像素点，是一种物质的可能性大。(gabor filter, the advantage of pixel analysis surrounding the possibility of a substance is large.)

ViBE背景建模算法，从 PC上移植改编，可在嵌入式上运行，效率较高(ViBE background modeling algorithm, coded PC to imbeded. )

这是著名的“Algorithmes de factorisation en matrices non-négatives fondée sur la beta-divergence”这篇文章算法的matlab源代码(This is the famous article " Algorithmes de factorisation en matrices non-ngatives fonde sur la beta-divergence" algorithm matlab source code)

该文件夹包括基于邻阈的小波图像去噪程序。主程序为wave_neighbor.m，实现3*3和5*5邻域去噪；wov_win.m为函数m文件，实现3*3和5*5的滑动窗口；cacupsnr.m为函数m文件，计算mse和psnr等。(This is about image denoising with the method of wavelet.It includes 3×3 and 5×5 neighborhood window.)

基于形状的模板匹配，用到了opencv，主体包含两部分，建模与金字塔搜索。(Based on the shape of the template matching, the use of opencv, the main body contains two parts, modeling and pyramid search.)

说明：  区域生长法的图像分割方法，效果分厂不错，值得借鉴！(Region growing image segmentation method, the effect of a good factory, worth learning!)

基于小波分析的BPSK的OFDM的分析，将对其的频谱进行分类及预测，(Based on the wavelet analysis of the analysis of BPSK OFDM, will the classification and prediction of the spectrum。 )

四种图像去噪程序，给原图像分别加上高斯噪声，椒盐噪声，乘性噪声，脉冲噪声后进行去噪，输出去噪后的图像(Four image denoising procedures, to the original image plus Gaussian noise, salt and pepper noise, multiplicative noise, impulse noise the Denoising output denoised image)