demo

有关纹理的图像检索算法，利用双树复小波提取图像的纹理特征(Texture image retrieval algorithm using tree complex wavelet extraction image texture features)

基于直方图的多阈值分割可以求出三个阈值，适合CT图像分割(Histogram-based multi-threshold segmentation can be obtained three threshold for CT image segmentation)

Evolve97的使用说明，很有用的一款软件，拥有结构优化(Evolve97 instructions for use, very useful piece of software, with structural optimization)

说明：  dct-svd域水印算法,实现数字水印图像在载体DCT-SVD域的隐藏(a kind of watermarking algorithm in DCT-SVD domain)

用图片素材自制的漂亮皮肤，编写的类似QQ的聊天工具。完成了QQ的及时聊天的功能。数据库文件在DB_51aspx文件夹下用高于sqlserver2000版本的数据库管理器附加即可。程序用vs2005或较高的版本调试。调试代码前修改DbHelpClass.cs中的string Str = "server=.\服务器;uid=sa;pwd=密码;database=MyQQ";数据库的名称不用改变附加数据库文件后名称自动附加为MyQQ。修改app.config配置文件中数据库链接字符串。

LabWindows /CVI 大学实验指导书，难度循序渐进，一套下来，基本操作都会了。推荐一下(LabWindows/CVI University experiment instructions, the difficulty of step-by-step, set down, the basic operation will be. You recommend)

SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。 采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。 (SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching. This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching. )

ROA算法代码，用来进行SAR图像的道路段检测的比较流行的算法之一(for SAR road detection)

利用matlab来实现人脸识别，人脸识别模板匹配，(Face Recognition Template Matching)

对一幅图像进行DCT与DFT变换，分析变换后的高低频分量系数(DCT and DFT on an image, analysis of high frequency components of the transformed coefficient)