热电厂工程电气主接线

说明：  Simple Thumbnail Viewer PRINT

说明：  这是一个增强的nsst程序，采用matlab编程，可以运行。(This is an enhanced NSST program, using MATLAB programming, can run.)

OpenGL高级编程与可视化系统开发（高级编程篇）的随书源码-4，学习OpenGL的好东西-OpenGL Programming and Advanced Visualization System (Advanced Programming Part 1) the source-4 with books, learning the good stuff OpenGL (OpenGL high-level programming and visualization systems development (high-level programming chapter)-4 of the source with the book, learning OpenGL good things-OpenGL Programming and Advanced Visualization System (Advanced Programming Part 1) the source-4 with books, learning the good stuff OpenGL)

通过对图像进行逆透视变化，得到图像的俯视图，即鸟瞰图(Through the inverse perspective change of the image, we can get the top view of the image, that is aerial view.)

简单实现画矩形和缺角的矩形，并且实现矩形的缩放和移动(Simple to draw a rectangle and the missing corner of the rectangle, and the rectangle zoom and move)

说明：  可以用于图像的canny滤波处理，直接输入图像，可以保存下来处理后的canny图像(It can be used for canny filtering of images, directly inputting images, and preserving processed canny images.)

一种改进的大律法，对于学习图形处理这很有用(An improved large law, the study deal with this very useful graphics)

这是vtk结合MFC在一个对话框内进行面绘的代码，读入图像的格式为DICOM(vtk This is a combination of the MFC dialog within the code face painting, Reading into the image of the DICOM format)

基于mfc的车辆检测程序，利用帧间的变化来检测，适合初学图像的同学学习(Mfc-based vehicle detection program to detect changes in the use of frames, suitable for beginners to learn the image of the students)

针对电气设备同一场景的红外与可见光图像间一致特征难以提取和匹配的问题，提出了一种基于斜率一致性的配准方法。首先通过数学形态学方法分别提取红外与可见光图像的边缘，得到粗边缘图像；然后通过SURF算法提取两幅边缘图像的特征点，根据正确的匹配点对之间斜率一致性的先验知识，进行特征点匹配；最后通过最小二乘法求得仿射变换模型参数并实现两幅图像的配准。实验结果表明，该方法有效提高了匹配点对的正确率，能够对电气设备红外和可见光图像实现高精度的配准。(In this paper, a method based on slope consistency is proposed to solve the problem that the uniform features of infrared and visible images are difficult to extract and match. Firstly, the edges of infrared and visible images were extracted by mathematical morphology, and the rough edge images were obtained. Then, the feature points of two edge images were extracted by SURF algorithm, and the priori knowledge of slope consistency was obtained according to the correct matching point, and the feature points were matched. Finally, the model parameters of affine transformation are obtained by least square method and the registration of two images is realized. The experimental results show that this method can effectively improve the accuracy of matching points, and can realize high precision registration of infrared and visible images of electrical equipment.)