 
- OpenCV 教程
- OpenCV - 主页
- OpenCV - 概述
- OpenCV - 环境
- OpenCV - 存储图像
- OpenCV - 读取图像
- OpenCV - 写入图像
- OpenCV-图形用户界面
- 绘图功能
- OpenCV - 画一个圆
- OpenCV - 画一条线
- OpenCV - 绘制矩形
- OpenCV - 绘制椭圆
- OpenCV - 绘制折线
- OpenCV - 绘制凸折线
- OpenCV - 绘制箭头线
- OpenCV - 添加文本
- 过滤
- OpenCV - 双边滤波器
- OpenCV - 盒式过滤器
- OpenCV - SQRBox 滤波器
- OpenCV - Filter2D
- OpenCV - 膨胀
- OpenCV - 侵蚀
- OpenCV - 形态运算
- OpenCV - 图像Pyramid
- 摄像头和人脸检测
- OpenCV - 使用相机
- OpenCV - 图片中的人脸检测
- 使用相机进行人脸检测
- OpenCV 有用资源
- OpenCV - 快速指南
- OpenCV - 有用的资源
- OpenCV - 讨论
OpenCV - 灰度到二进制
您可以使用上一章中提到的相同方法将灰度图像转换为二值图像。只需将灰度图像的路径作为该程序的输入传递即可。
例子
以下程序演示了如何将灰度图像读取为二进制图像并使用 JavaFX 窗口显示它。
import java.awt.image.BufferedImage;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
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;
public class GrayScaleToBinary extends Application {
   @Override
   public void start(Stage stage) throws Exception {
      WritableImage writableImage = loadAndConvert();
       
      // Setting the image view
      ImageView imageView = new ImageView(writableImage);
      // Setting the position of the image
      imageView.setX(10);
      imageView.setY(10);
      
      // 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("Grayscale to binary image");
      // Adding scene to the stage
      stage.setScene(scene);
      // Displaying the contents of the stage
      stage.show();
   }
   public WritableImage loadAndConvert() throws Exception {
      // Loading the OpenCV core library
      System.loadLibrary( Core.NATIVE_LIBRARY_NAME );
      // Instantiating the imagecodecs class
      Imgcodecs imageCodecs = new Imgcodecs();
      String input = "E:/OpenCV/chap7/grayscale.jpg";
      // Reading the image
      Mat src = imageCodecs.imread(input);
      // Creating the destination matrix
      Mat dst = new Mat();
      // Converting to binary image...
      Imgproc.threshold(src, dst, 200, 500, Imgproc.THRESH_BINARY);
      // Extracting data from the transformed image (dst)
      byte[] data1 = new byte[dst.rows() * dst.cols() * (int)(dst.elemSize())];
      dst.get(0, 0, data1);
      // Creating Buffered image using the data
      BufferedImage bufImage = new BufferedImage(dst.cols(),dst.rows(), 
         BufferedImage.TYPE_BYTE_BINARY);
      // Setting the data elements to the image
      bufImage.getRaster().setDataElements(0, 0, dst.cols(), dst.rows(), data1);
      // Creating a Writable image
      WritableImage writableImage = SwingFXUtils.toFXImage(bufImage, null);
      System.out.println("Converted to binary");
      return writableImage;
   }
   public static void main(String args[]) throws Exception {
      launch(args);
   }
}
输入图像
假设以下是上述程序中指定的输入图像sample.jpg 。
 
输出图像
执行程序时,您将得到以下输出。
