pibei

检测图像中的轮廓，并定位坐标，可以对图片特征惊醒提取。(Detect the image contours, and position coordinates can be awakened picture feature extraction.)

机载线阵SAR三维成像，采用后向投影（BP）算法，成像效果比较理想。程序中有各切面的结果图，便于分析成像分辨率。(The airborne SAR three-dimensional imaging uses the back projection (BP) algorithm, and the imaging effect is satisfactory.)

光线跟踪算法，能显示基本图形（球形，立方体，墙面），实现阴影，高光，反射，折射等效果(Ray tracing algorithm, can display basic graphics (sphere, cube, wall), to achieve shadows, light, reflection, refraction and other effects)

说明：  一种彩色图像的边缘检测算法，检测效果非常好，它是对Canny算法的改进，定位好，相应标准高，检测率高，误检率低(a kind of edge detection algorithm.The algoritlun employs amultpassprocessing approach that re}novesnoisefrom theRGB componentswith apre-filter, with the color edge detector then based on an extended gray scale edge gradient tern plate detector.)

基于keystone变换校正距离走动的机载预警雷达高速运动目标动目标检测方法(High-speed moving target moving target detection method based on keystone correction transformation walking distance airborne early warning radar)

利用严格成像模型生成的虚拟格网数据解算卫星影像的RPC参数，用于卫星影像定位(Use strict generated virtual imaging model grid data calculating satellite images RPC parameters for satellite image positioning)

说明：  标准图像库，里面有国际上通用的标准图像，用于图像处理(Standard image library, which has a common international standard image)

说明：  实现图像精确分割，基于ALpha Matting 的基础上的Sharedmatting图像分割算法(Accurate image segmentation,Sharedmatting image segmentation algorithm based on ALpha Matting)

抗任意角度旋转的图像匹配算法的matlab实现(image matching of any rotation )

说明：  a）针对合成纹理图像（共有4 个合成纹理图像，见文件夹： Texture_mosaic_data）中每一个像素提取纹理特征向量； b）利用聚类技术（推荐用k‐均值聚类，可以从网上查找原码）对特征向 量空间中的点进行聚类，类别数可根据图像中的实际纹理类数确定。最后把类 属标签映射成图像形式显示（如下图，其中b、d、f、h 为相应的基准分割图像）。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder: Texture feature vector is extracted from every pixel in texture; B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction The number of categories can be determined according to the actual number of texture classes in the image. Last class The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)