opencv之键盘响应

功能

根据键盘输入的不同信息,终端能读取信息并对图像进行不同的处理。

代码

#include 
#include 
using namespace cv;
using namespace std;


void on_lightness(int b, void* userdata)
{
    Mat image = *((Mat*)userdata);
    Mat dst = Mat::zeros(image.size(), image.type());
    Mat m = Mat::zeros(image.size(), image.type());
    m = Scalar(b, b, b);
    add(image, m, dst);
    imshow("key response", dst);
}


class QuickDemo
{
    public:
        void key_demo(Mat &image);
};


void QuickDemo::key_demo(Mat &image) 
{
    Mat dst= Mat::zeros(image.size(), image.type());
    while (true) 
    {
        char c = waitKey(100);
        if (c == 27)
        {
            cout <<"you enter key #Esc" << endl;
            break;
        }
        if (c == 49)
        {
            cout <<"you enter key #1" << endl;
            cvtColor(image, dst, COLOR_BGR2GRAY);
            imshow("key response", dst);
        }
        if (c == 50)
        {
            cout << "you enter key #2"  << endl;
            cvtColor(image, dst, COLOR_BGR2HSV);
            imshow("key response", dst);
        }
        if (c == 51)
        {
            cout << "you enter key #3" << endl;
            int lightness = 50;
            createTrackbar("lightness bar:", "key response", &lightness, 100, on_lightness, (void*)(&image));
            on_lightness(50, &image);
        }
        cout << c << endl;
    }
}


int main()
{
    Mat image = imread("D:\\c++_opencv\\images\\0--Parade_0_Parade_marchingband_1_20.jpg", IMREAD_ANYCOLOR);

    if (image.empty())
    {
        printf("could not load image");
        return -1;
    }

    imshow("input image", image);

    QuickDemo qd;

    qd.key_demo(image);

    waitKey(0);
    destroyAllWindows();

    return 0;
}

结果

#1:

#2:

#3:

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