NX二次开发-基于OpenCV图像处理的开发(将彩色图片变为灰色)

随着发展趋势的变换，按照传统只是光会NX界面小工具开发，已经满足不了各种复杂的需求了。

需要各种其他领域的开发与NX开发进行对接。利用openCV进行图像处理，计算机视觉开发。

例如：图纸识别......

NX9+VS2012+Opencv2.4.9

1.添加环境变量

将路径D:\opencv\build\x64\vc11\bin复制到path环境变量里面

 2.新建一个C++控制台项目

3.配置环境

 Debug版

opencv_core249d.lib
opencv_imgproc249d.lib
opencv_highgui249d.lib
opencv_ml249d.lib
opencv_video249d.lib
opencv_features2d249d.lib
opencv_calib3d249d.lib
opencv_objdetect249d.lib
opencv_contrib249d.lib
opencv_legacy249d.lib
opencv_flann249d.lib

Release版

opencv_core249.lib
opencv_imgproc249.lib
opencv_highgui249.lib
opencv_ml249.lib
opencv_video249.lib
opencv_features2d249.lib
opencv_calib3d249.lib
opencv_objdetect249.lib
opencv_contrib249.lib
opencv_legacy249.lib
opencv_flann249.lib

4.添加代码

#include <opencv2/opencv.hpp>
#include <iostream>

using namespace cv;

int main(int argc, char** argv)
{

    Mat src = imread("D:/123/1.png");
    if (src.empty())
    {
        printf("could not load image...\n");
        return -1;
    }
    //显示一张彩色图片
    namedWindow("test opencv setup", CV_WINDOW_AUTOSIZE);
    imshow("test opencv setup", src);

    //将彩色图片转换成灰色,显示出来
    namedWindow("output windows", CV_WINDOW_AUTOSIZE);
    Mat output_image;
    cvtColor(src, output_image, CV_BGR2GRAY);
    imshow("output windows", output_image);

    //保存图片
    imwrite("D:/123/2.png", output_image);


    waitKey(0);
    return 0;
}

Caesar卢尚宇
2020年7月4日

5.新建一个NX dll项目,在项目中调用图像处理的exe

system("D:\\123.exe");

 参考资料 https://blog.csdn.net/shiyimin1/article/details/26163993?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-2&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-2