ImproveCanny

数字图像处理 opencv 一些基本例子和源码(opencv code)

matlab提取图像的纹理特征，包括方差、熵、角二阶矩等特征。(matlab extract the texture features, including variance, entropy, angular second moment and other features.)

数字图像处理实验-图像处理-含实验题目及源代码(Pseudo-Color Image Processing (a) Implement Fig. 6.23, with the characteristic that you can specify two ranges of gray-level values for the input image and your program will output an RGB image whose pixels have a specified color corresponding to one range of gray levels in the input image, and the remaining pixels in the RGB image have the same shade of gray as they had in the input image. You can limit the input colors to all the colors in Fig. 6.4(a). (b) Download the image in Fig. 1.10(4) and process it with your program so that the river appears yellow and the rest of the pixels are the same shades of gray as in the input image. It is acceptable to have isolated specs in the image that also appear yellow, but these should be kept as few as possible by proper choice of the two gray-level bands that you input into your program.)

说明：  基于MP的信号稀疏分解参考程序。源程序是《信号与图像的稀疏分解及初级应用》中的(MP sparse decomposition based on the signal reference program. Source is &quot Signal and image sparse decomposition and primary application&quot in the)

利用VTK实现图像的放大缩小，基于对话框编写的，有助于学习VTK的朋友(Using VTK to achieve the image to zoom in, based on the dialog box, prepared to help a friend learn VTK)

计算灰度共生矩阵的Matlab程序，提取图像灰度共生矩阵( glcm image segmentation matlab GLCM program segmentation glcm GLCM Matlab Code image segmentation GLCM matrix )

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。

关于基于Kruppa方程的摄像机自标定方法的两篇论文，相对于传统的标校方法，是一种新的相机自标定技术(About Kruppa equation based camera self-calibration method of two papers, as opposed to the traditional Calibration Method is a new camera self-calibration technique)

实现了交互式图像分割算法，只需手动标注标记点就可以实现图像分割(Interactive image segmentation algorithm, simply manually annotate the markers can be achieved to image segmentation)

显著区域检测的一篇文章所带的测试算法，CVPR(Salient Region Detector CVPR 2009)