【OpenCV学习记录】3.不那么简单的变换
1.实现功能
(1)创建新图像使其为原始图像的一半
(2)输出一个单通道的灰度图像
(3)读取图像像素值
2.实现代码
(1)
int showImage_2_1(cv::Mat img1)
{ //宽高均设置为原始图像的1/2
cv::Mat img2;
cv::namedWindow("Example5_1", cv::WINDOW_AUTOSIZE);
cv::namedWindow("Example5_2", cv::WINDOW_AUTOSIZE);
cv::imshow("Example5_1_1", img1);
//高斯模糊以及降维采样
cv::pyrDown(img1, img2);
cv::imshow("Example5_1_2", img2);
cv::waitKey(0);
return 5;
}
(2)
int showImage_2_2(cv::Mat img_rgb)
{ //Canny边缘检测器输出一个单通道的(灰度)图像
cv::Mat img_gry, img_cny,img2;
cv::namedWindow("Example5_2_1", cv::WINDOW_AUTOSIZE);
cv::namedWindow("Example5_2_2", cv::WINDOW_AUTOSIZE);
//将图像从BGR图像转换为灰度图像
cv::cvtColor(img_rgb, img_gry, cv::COLOR_BGR2GRAY);
cv::imshow("Example5_2_1", img_gry);
//边缘检测
cv::Canny(img_gry, img_cny, 10, 100, 3, true);
cv::imshow("Example5_2_2", img_cny);
cv::waitKey(0);
return 6;
}
(3)
int showImage_2_3(cv::Mat img_rgb)
{ //读取图像像素值
cv::Mat img_gry, img_cny, img2;
cv::cvtColor(img_rgb, img_gry, cv::COLOR_BGR2GRAY);
cv::Canny(img_gry, img_cny, 10, 100, 3, true);
//////////////////////////////////////////////////////////
int x = 16, y = 32;
//获取图形像素点(X,Y)的像素
cv::Vec3b intensity = img_rgb.at<cv::Vec3b>(y, x);
uchar blue = intensity[0];
uchar green = intensity[1];
uchar red = intensity[2];
cout << "At(x,y)=(" << x << "," << y << "):(blue,green,red)=(" << (unsigned int)blue << "," << (unsigned int)green << "," << (unsigned int)red << ")" << endl;
cout << "Gray pixel there is:" << (unsigned int)img_gry.at<uchar>(y, x) << endl;
x /= 4; y /= 4;
cout << "Pyramid2 pixel there is:" << (unsigned int)img_cny.at<uchar>(y, x) << endl;
img_cny.at<uchar>(x, y) = 128;
return 7;
}
3.运行结果
(1)
(2)
(3)
本文参考书目:
《学习OpenCV3(中文版)》[美] 安德里安·凯勒、加里·布拉德斯基 著 , 阿丘科技、刘昌祥、吴雨培、王成龙、崔玉芳 等译,清华大学出版社。