decon

手机壁纸截图小工具源码程序，结合易语言扩展界面支持库，应用易语言图像格式转换支持库，可以截取指定格式的图片，用于手机壁纸。(Phone wallpaper theme gadget source program, combined with easy language support library expansion interface , the application image format conversion easy language support library , can intercept a specified format pictures, wallpaper for mobile phones .)

带通配符的字符串匹配,多重匹配,支持通配符“*”，“？”(String matching with wildcards, multiple matches, supports wildcards " *" , " ?" )

图像融合的评价指标程序代码Image fusion uation program code(Image fusion uation program code)

这是我花了很多时间收集的有关sift-pca资料哦，里面也包括了sift-pca的MATLAB代码(This is what I spent a lot of time to collect information about the sift-pca Oh, which also includes a sift-pca MATLAB code)

小波处理，滤波，复原，融合等VC源代码.(Wavelet processing, filtering, recovery, integration VC source code.)

说明：  基于高光谱数据集PaviaU的数据降维与分类,基于核函数的主成分分析kpca测试(Dimension reduction and classification based on hyperspectral data set paviau, KPCA test based on kernel function principal component analysis)

基于mfc对话框开发的图片位深度转换器，源码部分截图如下。 CImage img;    img.Load("D:\qrcode.png");    img.Save("D:\qrcode.bmp");    CxImage ximage;    ximage.Load("D:\qrcode.bmp", CXIMAGE_FORMAT_BMP);    ximage.AlphaStrip();    ximage.Save("D:\11.bmp", CXIMAGE_FORMAT_BMP);

目前最好的空域图像隐写算法，亲测已跑通！(the best Steganography)

EDLines是一种快速直线检测算子，2012年在ICCV上提出，也是目前处理直线检测最快的算法之一，该算法包含三个步骤：（1）边缘提取：利用Edge Drawing (ED)算法[28,29]从灰度图像中提取边缘片段；（2）线段检测：利用最小二乘法提取直线段；（3）线段确认：遵循Helmholtz定律，从已提取的直线段中摒弃虚假线段。EDLines算法的优越性得益于Edge Drawing (ED)算法能够从灰度图像中准确、快速、稳定地提取出光滑、完整的边缘片段。Edge Drawing (ED)算法包含以下步骤： （1）采用size=5*5,σ=1的高斯核对灰度图像进行平滑滤波，去除噪声； （2）采用一种常用的梯度算子，如Prewitt、Sobel或Scharr等计算平滑后图像中每个像素点的梯度幅度和梯度方向； （3）将梯度图中邻域内幅度最大的像素点标记为锚点，这些锚点成为图像边缘点(edge elements)的概率很大； （4）将相邻的锚点连接成边缘线。从一个锚点起始，ED利用相邻像素的梯度幅度和方向在梯度为最大值的锚点之间游走。 (Edge Drawing (ED) is our recently-proposed, novel, fast edge detection algorithm. What makes ED stand out the existing edge detectors, e.g., Canny, is the following: While the other edge detectors give out a binary edge image as output, where the etected edge pixels are usually independent, discontinuous entities ED produces a set of edge segments, which are clean, contiguous, i.e., connected, chains of edge pixels. Thus, while the output of the other edge detectors requires urther processing to generate potential object boundaries, which may not even be possible or result in inaccuracies ED not only produces perfectly connected object boundaries by default, but it also achieves this in blazing speed compared to other edge detector.)

大连理工大学卢湖川教授团队显著性检测方法4(Visual Tracking via Probability Continuous Outlier Model)