udf

图像缩放,在readme.txt里有详细的使用说明(image zoom, the readme.txt are detailed usage)

对静态图像应用canny算法提取边缘特征(The edge feature is extracted by canny algorithm of static image)

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.)

对打开的图像，可以提取其纹理特征，程序运行无误(Right to open the image, you can extract the texture features, the program is running correctly)

irrilicht开源引擎，用于windows，mac等各个平台的图像开发(irrilicht engine， it‘s opensource)

读取显示BMP图像(read BMP images show)

点云三维重建中需要用的法向量计算，能够有效避免法向量不一致的问题，更好进行三维重建。测试有用。(Normal vector calculation point cloud reconstruction in need, and can effectively avoid the problem of inconsistent normals, better three-dimensional reconstruction. Useful for testing.)

该源程序构建了车牌识别系统，里面包含相应的模板，可以直接运行(The source code license plate recognition system was constructed, which contains the appropriate template, you can directly run)

边缘图象分割程序，是使用vb编程，希望有帮助(edge image segmentation procedures, the use of vb programming, with the hope of helping)

针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.(View of the current challenges facing the field of industrial manufacturing, made use of non-metric digital camera precision sheet metal parts for industrial reconstruction and visual inspection. Using two-dimensional direct linear transformation and the decomposition of initial parameters of the camera bundle adjustment with high accuracy calibration extracted by the least square template matching, like the surface of point, line information and mixed bundle adjustment to the three-dimensional reconstruction of high-precision sheet metal parts and the size of the detection of manufacturing errors. visual inspection system developed by the hardware low cost, high degree of automation, the actual data, many experiments have achieved better than 1/8000 of the relative accuracy, that the methods discussed in the automation of industrial components to provide a feasible three-dimensional detection approach.)