- OpenCV 教程
- OpenCV - 首页
- OpenCV - 概述
- OpenCV - 环境配置
- OpenCV - 图像存储
- OpenCV - 读取图像
- OpenCV - 写入图像
- OpenCV - 图形用户界面 (GUI)
- 绘图函数
- OpenCV - 绘制圆形
- OpenCV - 绘制直线
- OpenCV - 绘制矩形
- OpenCV - 绘制椭圆
- OpenCV - 绘制多边形
- OpenCV - 绘制凸多边形
- OpenCV - 绘制带箭头的直线
- OpenCV - 添加文本
- 滤波
- OpenCV - 双边滤波
- OpenCV - 方框滤波
- OpenCV - 平方盒滤波
- OpenCV - Filter2D
- OpenCV - 膨胀
- OpenCV - 腐蚀
- OpenCV - 形态学操作
- OpenCV - 图像金字塔
- Sobel 算子
- OpenCV - Sobel 算子
- OpenCV - Scharr 算子
- 摄像头和人脸检测
- OpenCV - 使用摄像头
- OpenCV - 图片中的人脸检测
- 使用摄像头进行人脸检测
- OpenCV 有用资源
- OpenCV - 快速指南
- OpenCV - 有用资源
- OpenCV - 讨论
OpenCV - 使用摄像头
本章将学习如何使用 OpenCV 通过系统摄像头捕获帧。`org.opencv.videoio` 包的 `VideoCapture` 类包含用于使用摄像头捕获视频的类和方法。让我们一步一步学习如何捕获帧:
步骤 1:加载 OpenCV 原生库
使用 OpenCV 库编写 Java 代码时,第一步需要使用 `loadLibrary()` 加载 OpenCV 的原生库。如下所示加载 OpenCV 原生库。
// Loading the core library System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
步骤 2:实例化视频捕获类
使用本教程前面提到的任何函数实例化 Mat 类。
// Instantiating the VideoCapture class (camera:: 0) VideoCapture capture = new VideoCapture(0);
步骤 3:读取帧
可以使用 `VideoCapture` 类的 `read()` 方法从摄像头读取帧。此方法接受 `Mat` 类的对象来存储读取的帧。
// Reading the next video frame from the camera Mat matrix = new Mat(); capture.read(matrix);
示例
以下程序演示了如何使用摄像头捕获帧并使用 JavaFX 窗口显示它。它还会保存捕获的帧。
import java.awt.image.BufferedImage; import java.awt.image.DataBufferByte; import java.awt.image.WritableRaster; import java.io.FileNotFoundException; import java.io.IOException; import javafx.application.Application; import javafx.embed.swing.SwingFXUtils; import javafx.scene.Group; import javafx.scene.Scene; import javafx.scene.image.ImageView; import javafx.scene.image.WritableImage; import javafx.stage.Stage; import org.opencv.core.Core; import org.opencv.core.Mat; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.videoio.VideoCapture; public class CameraSnapshotJavaFX extends Application { Mat matrix = null; @Override public void start(Stage stage) throws FileNotFoundException, IOException { // Capturing the snapshot from the camera CameraSnapshotJavaFX obj = new CameraSnapshotJavaFX(); WritableImage writableImage = obj.capureSnapShot(); // Saving the image obj.saveImage(); // Setting the image view ImageView imageView = new ImageView(writableImage); // setting the fit height and width of the image view imageView.setFitHeight(400); imageView.setFitWidth(600); // Setting the preserve ratio of the image view imageView.setPreserveRatio(true); // Creating a Group object Group root = new Group(imageView); // Creating a scene object Scene scene = new Scene(root, 600, 400); // Setting title to the Stage stage.setTitle("Capturing an image"); // Adding scene to the stage stage.setScene(scene); // Displaying the contents of the stage stage.show(); } public WritableImage capureSnapShot() { WritableImage WritableImage = null; // Loading the OpenCV core library System.loadLibrary( Core.NATIVE_LIBRARY_NAME ); // Instantiating the VideoCapture class (camera:: 0) VideoCapture capture = new VideoCapture(0); // Reading the next video frame from the camera Mat matrix = new Mat(); capture.read(matrix); // If camera is opened if( capture.isOpened()) { // If there is next video frame if (capture.read(matrix)) { // Creating BuffredImage from the matrix BufferedImage image = new BufferedImage(matrix.width(), matrix.height(), BufferedImage.TYPE_3BYTE_BGR); WritableRaster raster = image.getRaster(); DataBufferByte dataBuffer = (DataBufferByte) raster.getDataBuffer(); byte[] data = dataBuffer.getData(); matrix.get(0, 0, data); this.matrix = matrix; // Creating the Writable Image WritableImage = SwingFXUtils.toFXImage(image, null); } } return WritableImage; } public void saveImage() { // Saving the Image String file = "E:/OpenCV/chap22/sanpshot.jpg"; // Instantiating the imgcodecs class Imgcodecs imageCodecs = new Imgcodecs(); // Saving it again imageCodecs.imwrite(file, matrix); } public static void main(String args[]) { launch(args); } }
输出
执行程序后,将获得以下输出。
如果打开指定的路径,可以观察到保存为 jpg 文件的同一帧。
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