C++调用matlab引擎实现三维图的绘制
目录
- VS2012设置
- matlab程序
- VS2012控制台程序
- 运行结果
- 说明
VS2012设置
项目–项目属性–配置属性–VC++目录–包含目录 D:\MATLAB\R2016a\extern\include
项目–项目属性–配置属性–VC++目录–库目录
D:\MATLAB\R2016a\extern\lib\win64\microsoft
添加依赖项有两种方法:
方法一:项目中设置
项目–项目属性–配置属性–链接器–输入–添加依赖项
libmx.lib
libmat.liblibmex.libmclmcr.libmclmcrrt.liblibemlrt.liblibeng.liblibfixedpoint.liblibcovrt.lib
方法二:程序中添加
#pragma comment(lib,“libmx.lib”)
#pragma comment(lib,“libmat.lib”)#pragma comment(lib,“libmex.lib”)#pragma comment(lib,“mclmcr.lib”)#pragma comment(lib,“mclmcrrt.lib”)#pragma comment(lib,“libemlrt.lib”)#pragma comment(lib,“libeng.lib”)#pragma comment(lib,“libfixedpoint.lib”)#pragma com开发者_自学开发ment(lib,“libcovrt.lib”)
计算机–属性–高级系统设置–环境变量–系统变量–Path–新建
D:\MATLAB\R2016a\bin\win64
matlab程序
pt.m文件
clc;clear;close all; % 定义点(x,y,z) x = randn(50,1); xmax = max(x); xmin = min(x); y = randn(50,1); ymax = max(y); ymin = min(y); z = exp(sin(x.^2)) + exp(cos(y.^2)); N = 500; % 每个维度的数据点数 % 网格化x,y二维空间 [X,Y] = meshgrid(linspace(xmin,xmax,N),linspace(ymin,ympythonax,N)); % 采用插值法扩展数据,可用方法有'linear'(default)|'nearest'|'natural'|'cubic'|'v4'| Z = griddata(x,y,z,X,Y,'v4'); %% 等高线法 figure('NumberTitle','off','Name','等高线法','Color','w','MenuBar','none','ToolBar','none'); contourf(X,Y,Z,N, 'LineColorunKVwY','none'); colormap('jet'); colorbar; axis off; %{ %% 投影图法 figure('NumberTitle','off','Name','投影图法','Color','w','MenuBar','none','ToolBar','none'); surf(X,Y,Z,'LineStyle','none'); xlim([min(X(:)) max(X(:))]); ylim([min(Y(:)) max(Y(:))]); axis off; colormap('jet'); colorbar; shading interp; view(0,90); %% imagesc法 figure('NumberTitle','off','Name','imagesc法','Color','w','MenuBar','none','ToolBar','none'); % 因为图像坐标和笛卡尔坐标起始位置不一样,需要上下翻转 imagesc(flipud(Z)); colormap('jet'); colorbar; axis off; %% pcolor法 figure('NumberTitle','off','Name','pcolor法','Color','w','MenuBar','none','ToolBar','none'); pcolor(X,Y,Z); colormap('jet'); colorbar; shading interp; axis off; %}
VS2012控制台程序
matlab.cpp文件
#include "stdafx.h" #include <stdlib.h> #include <stdio.h> #include <string.h> #include "engine.h" // 方法一 #pragma comment(lib,"libmx.lib") #pragma comment(lib,"libmat.lib") #pragma comment(lib,"libmex.lib") #pragma comment(lib,"mclmcr.lib") #pragma comment(lib,"mclmcrrt.lib") #pragma comment(lib,"libeunKVwYmlrt.lib") #pragma comment(lib,"libeng.lib") #pragma comment(lib,"libfixedpoint.lib") #pragma comment(lib,"libcovrt.lib") int _tmain(int argc, _TCHAR* argv[]) { Engine *ep; if (!(ep = engOpen("\0"))) { fprintf(stderr, "\nCan't start MATLAB engine\n"); return EXIT_FAILURE; } //隐藏matlab命令窗口 engSetVisible(ep, 0); /* // 测试 engEvalString(ep, " clc;clear;close all;\ % 定义点(x,y,z)\ x = randn(50,1);\ xmax = max(x);\ xmin = min(x);\ y = randn(50,1);\ ymax = max(y);\ ymin = min(y);\ z = exp(sin(x.^2)) + exp(cos(y.^2));\ N = 500; % 每个维度的数据点数\ % 网格化x,y二维空间\ [X,Y] = meshgrid(linspace(xmin,xmax,N),linspace(ymin,ymax,N));\ % 采用插值法扩展数据,可用方法有'linear'(default)|'nearest'|'natural'|'cubic'|'v4'|\ Z = griddata(x,y,z,X,Y,'v4');\ figure('NumberTitpythonle','off','Name','等高线法','Color','w','MenuBar','none','ToolBar','none');\ contourf(X,Y,Z,N, 'LineColor','none');\ colormap('jet');\ colorbar;\ axis off;\ "); */ /* // 测试 engEvalString(ep, "figure;"); */ /* // 切换至 pt.m 所在文件夹 engEvalString(ep, "cd C:\\Users\\Administrator\\Desktop\\matlab\\figure; "); // 运行 pt.m engEvalString(ep, "run pt"); */ engEvalString(ep, "cd C:\\Users\\Administrator\\Desktop\\matlab\\figure;\ run pt;\ "); printf("按任意键继续\n"); fgetc(stdin); engEvalString(ep, "close;"); engClose(ep)http://www.devze.com; return EXIT_SUCCESS; }
运行结果
说明
VS2012新建名称为“matlab”项目,在“matlab”项目文件夹下新建figure文件夹,figure文件夹中放matlab画图程序 pt.m。
VS2012编译平台选择与matlab版本对应起来,文章选择的是64位。
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