plotgdop

可以计算mtf，使用matlab输入图像即可实现计算(You can calculate MTF and use matlab to input images.)

计算haar尺度函数和小波基系数矩阵，用于数值计算，如解偏微方方程，自己编写的。(Computing haar wavelet scaling function and the coefficient matrix for the numerical calculation, such as the solution of partial differential equations side, I have written.)

对场景分类和语义特征稀疏化的高层图像表示(Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification)

一个非常有用的超像素算法，用于图像分割,文件夹包含文章,采用matlab和c混编(a very useful superpixels algorithm，can be used for image segmentation,the file contatins paper,the matlab and c are mixed for exeution)

基于matlab的各种三维画图，种类比较齐全(All kinds of three-dimensional drawings based on MATLAB are quite complete)

本程序运用帧间差分法进行运动目标的检测，通过帧间差分法获得差分图像，然后运用数学形态学进行处理，突出运动目标。(This program uses the inter-frame difference method for the detection of moving targets, the difference image obtained through the inter-frame difference method, and then use mathematical morphology processing, highlighting the moving target.)

屏幕放大镜源码，程序调用API函数，在时钟的周期事件下设置窗口透明样式并复制放大图像，形成放大镜的效果。(Screen magnifier source , the program calls API functions , set the window transparent style event in the cycle of the clock and copies enlarge the image , forming a magnifying glass effect.)

比较反滤波和维纳滤波对一幅图像复原的效果。从两方面出发，一是对运动模糊和均值模糊复原的能力，二是抗噪能力，各种情况分别都进行了对比(Comparison of inverse filtering and Wiener filtering on an image restoration results. Proceed in two ways, first on the motion blur and the mean fuzzy recovery capability and noise immunity, all cases are compared separately)

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)

使用Gabor滤波器进行滤波后的差分矩阵实现遥感图像云检测(Gabor filter is used to filter the differential matrix for remote sensing image cloud detection)