- OpenCV简介
- OpenCV开发环境配置
- OpenCV存储图像
- OpenCV读取图像
- OpenCV写入图像
- OpenCV用户界面
- 图像类型
- 图像转换
- 绘图函数
- 模糊功能
- 过滤功能
- 阈值
- 索贝尔衍生品
- 变换操作
- 相机和人脸检测
- 几何变换
- 杂篇
OpenCV使用摄像头
在本章中,我们将学习如何使用OpenCV使用系统摄像头捕获帧。org.opencv.videoio
包中的VideoCapture
类包含使用相机捕获视频的类和方法。下面来一步一步学习如何捕捉帧 -
第1步:加载OpenCV本机库
在使用OpenCV库编写Java代码时,使用loadLibrary()
加载OpenCV本地库。加载OpenCV本机库,如下所示 -
// Loading the core library System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
第2步:实例化视频捕获类
使用本教程前面提到的函数来实例化Mat
类。
// Instantiating the VideoCapture class (camera:: 0) VideoCapture capture = new VideoCapture(0);
第3步:阅取帧
可以使用VideoCapture
类的read()
方法从相机读取帧。此方法接受类Mat
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
以下程序演示如何使用相机捕捉帧并使用JavaFX窗口显示。它也保存捕获的帧。
package com.zyiz.cameraface; 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 = "F:/worksp/opencv/images/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); } }
执行上面示例代码,得到以下结果 -
如果打开指定的路径,可以观察到保存一个.jpg
文件(F:/worksp/opencv/images/sanpshot.jpg)。
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