在此示例中,我们将看到如何从磁盘加载彩色图像并使用OpenCV的内置功能显示它。我们可以使用C / C ++,Python或Java绑定来完成此操作。
在C ++中:
#include <opencv2/core.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>
using namespace cv;
int main(int argc, char** argv) {
// 我们将从加载驱动器中的图像开始
Mat image = imread("image.jpg", CV_LOAD_IMAGE_COLOR);
// 我们检查图像是否已正确加载
if(image.empty()) {
std::cout << "Error: the image has been incorrectly loaded." << std::endl;
return 0;
}
// 然后我们创建一个窗口来显示我们的图像
namedWindow("My first OpenCV window");
// 最后,我们显示图像并要求程序等待按键被按下
imshow("My first OpenCV window", image);
waitKey(0);
return 0;
}在Python中:
import sys
import cv2
# We load the image from disk
img = cv2.imread("image.jpg", cv2.CV_LOAD_IMAGE_COLOR)
# We check that our image has been correctly loaded
ifimg.size== 0
sys.exit("Error: the image has not been correctly loaded.")
# We create a window to display our image
cv2.namedwindow("My first OpenCV window")
# We display our image and ask the program to wait until a key is pressed
cv2.imshow("My first OpenCV window", img)
cv2.waitKey(0)
# We close the window
cv2.destroyAllWindows()在Java中:
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.CvType;
import org.opencv.highgui.Highgui;
public class Sample{
public static void main (String[] args) {
//加载本机opencv库
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
//从文件的第一个参数:文件位置读取图像,第二个参数:颜色空间
Mat img = imread("image.jpg",CV_LOAD_IMAGE_COLOR);
//如果图像读取成功。
if (img.size() == 0) {
System.exit(1);
}
}HighGui在opencv java中没有namedwindows或imshow等效项。使用swing或swt显示图像。