HIC_new

用于读取IGES文件(IGES files for reading)

计算机图形学的多边形求交算法，实现两个多边形的求交功能(Computer graphics polygon intersection algorithm to achieve two polygon intersection function)

计算机图形学，扫描线种子填充算法,填充算法，填充算法(dd )

在视图窗口显现一个黑色的球体，背景为浅蓝色。颜色对比强烈(View window appear in a black sphere, as a light blue background. Strong color contrast)

水平百叶窗显示图片，讲一张图像垂直分成若干份，bitblt一行一行的显示(The level of blinds show pictures, talk about an image vertically divided into several copies, bitblt display line by line)

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.)

解决图像的DCT变换与逆变换，为JEPG压缩做铺垫(To solve the image DCT transform and inverse transform, in order to pave the way for JEPG compression)

这是一个详细的关于Vc++图像编程的ppt，希望对大家有帮助(This is a detailed on Vc++ Image programming ppt, hope everyone has to help)

说明：  编译的图形软件的一部分程序可以画出直线圆弧矩形(graphics software compiler part of the procedure can draw straight rectangular arc)

特征提取，主要是灰度共生矩阵和不变矩特征提取的程序，openCV下可直接运行(Feature extraction, mainly GLCM and invariant moments feature extraction procedures can be run directly under openCV)