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学习opencv第8章练习

金穗_ec4b 2022-04-06 阅读 16
opencvc++

对视频进行转成灰度图,并进行canny边缘检测,并将3个影像合到一个影像中显示。

VideoCapture cap("D:\\编程\\opencv\\opencv\\opencv\\sources\\samples\\data\\vtest.avi");
	Mat m1,m2,m3,m_all;
	auto width=cap.get(CAP_PROP_FRAME_WIDTH);
	auto height = cap.get(CAP_PROP_FRAME_HEIGHT);
	while (true)
	{	
		cap >> m1;
		cvtColor(m1, m2, COLOR_RGB2GRAY);
		Canny(m2, m3, 200, 300);
		cvtColor(m2, m2, COLOR_GRAY2RGB);
		cvtColor(m3, m3, COLOR_GRAY2RGB);//single way to 3 ways
		m_all.create(height, width*3, m1.type());
		putText(m1, "RGB影像", Point(500, 100), 1,99, Scalar(255, 0, 0));
		putText(m2, "GRAY影像", Point(500, 100), 1, 99, Scalar(0, 255, 0));
		putText(m3, "Canny影像", Point(500, 100), 1, 99, Scalar(0,0, 255));
		m1.copyTo(m_all(Rect(0, 0, width, height)));
		m2.copyTo(m_all(Rect(width, 0, width, height)));
		m3.copyTo(m_all(Rect(width*2,0, width, height)));
		namedWindow("final", 0);
		imshow("final", m_all);
		/*Ptr<Mat> a1, a2, a3;
		a1 = &m1; a2 = &m2; a3 = &m3;
		a1.*/
		if (waitKey(100) == 27) break;

	}

效果如下

 

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