grabcut_matlab

1AttributeQuery属性查询2BufferAnalysis缓冲区分析3ComExtender使用Com组件扩展GIS服务器4Common_CustomDataSource_CSharp自定义数据源，XML，遥感影像数据5ContextManager通过Context为服务器添加图层，使用Image代替MapControl6ContextMenu右键菜单(全图，输出地图)7CustomRender自定义专题图实现(GDI)，非AO8CustomTask自定义任务，ITask，IFloatingPanelTask9CustomTool点、线、面、巨型、多边形、圆查询10DynamicAddResource动态添加本地/远程数据源，通过实例化MapResourceItem11ExportLegend输出图例，使用Image显示12FromControl使用用拖拉控件实现简单的地图浏览13FullSearch查询，全文查询14MapServerBrowserCS端使用AGS地图服务显示地图15NorthAmericaSample模版实例程序16Security移除图层、工具栏项、Task项17SetLayerVisibility控制图层可视性，使用Div代替Toc18SimpleAjaxAJAX原理实例19SpatialQueryCOMCom组件扩展服务器，空间查询20ThemeMap专题图，使用细粒度AO实现21VegSOE服务器对象扩展22webctrl_clientHtc，Web行为文件的使用23WebServiceTestGISWeb服务的使用与创建

灰色预测模型matlab,灰色模型GM(1,1)程序二次拟合和等维新陈代谢改进预测程(Matlab of gray prediction model, gray model GM (1,1) procedures for the second fitting and the same dimension metabolism to improve the forecasting process )

用模糊C均值算法实现图像分割 ，文件夹中附带有图片和matlab的源程序，已经验证过可以实现对图片的分割 (Fuzzy C-means algorithm for image segmentation, there is a folder with pictures and matlab source, has already been verified can be achieved on image segmentation)

道路识别的一个matlab仿真程序，主要是基于道路颜色的图像处理。(A road recognition matlab simulation program was based primarily on the road color image processing.)

运用Perona-Malik各项异性扩散模型对二维图像进行去噪处理。该方法在有效的抑制噪声的同时能够保护图像的边缘。(The use of Perona-Malik Anisotropic Diffusion Model for the treatment of two-dimensional image denoising. The method in the effective suppression of noise at the same time to protect the edge of the image.)

读取与显示JPG等格式图像文件，Visual C++编程技巧精选，很好的参考资料。(Read and display JPG format image files, Visual C++ programming skills selected, a good reference.)

将dct生成的8*8块图像数据进行zigzag排序，以及恢复算法，在脆弱水印中使用。(The program zigzag sort 8*8 image data generated by dct, and restore algorithm, which is used in fragile watermarking.)

实现对邮票中手写字符的提取，得出灰度直方图，平滑算法，锐化算法以及输出二值化图像(Realization of the extraction of handwritten characters in stamps)

单尺度SSR(Single Scale Retinex)(A Retinex Function)

使用OpenCV实现特征点的查找以及两幅图像中的特征点匹配(Use the function findHomography to find the transform between matched keypoints. Use the function perspectiveTransform to map the points)