- OpenCV - Home
- OpenCV - Overview
- OpenCV - Environment
- OpenCV - Storing Images
- OpenCV - Reading Images
- OpenCV - Writing an Image
- OpenCV - GUI
- Image Conversion
- Colored Images to GrayScale
- OpenCV - Colored Image to Binary
- OpenCV - Grayscale to Binary
- Drawing Functions
- OpenCV - Drawing a Circle
- OpenCV - Drawing a Line
- OpenCV - Drawing a Rectangle
- OpenCV - Drawing an Ellipse
- OpenCV - Drawing Polylines
- OpenCV - Drawing Convex Polylines
- OpenCV - Drawing Arrowed Lines
- OpenCV - Adding Text
- Filtering
- OpenCV - Bilateral Filter
- OpenCV - Box Filter
- OpenCV - SQRBox Filter
- OpenCV - Filter2D
- OpenCV - Dilation
- OpenCV - Erosion
- OpenCV - Morphological Operations
- OpenCV - Image Pyramids
- Sobel Derivatives
- OpenCV - Sobel Operator
- OpenCV - Scharr Operator
- Transformation Operations
- OpenCV - Laplacian Transformation
- OpenCV - Distance Transformation
- Camera and Face Detection
- OpenCV - Using Camera
- OpenCV - Face Detection in a Picture
- Face Detection using Camera
- Geometric Transformations
- OpenCV - Affine Translation
- OpenCV - Rotation
- OpenCV - Scaling
- OpenCV - Color Maps
- Miscellaneous Chapters
- OpenCV - Canny Edge Detection
- OpenCV - Hough Line Transform
- OpenCV - Histogram Equalization
- OpenCV Useful Resources
- OpenCV - Quick Guide
- OpenCV - Cheatsheet
- OpenCV - Useful Resources
- OpenCV - Discussion
OpenCV - Grayscale to Binary
You can use the same method mentioned in the previous chapter to convert a grayscale image to a binary image. Just pass the path for a grayscale image as input to this program.
Example
The following program demonstrates how to read a grayscale image as a binary image and display it using JavaFX window.
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);
}
}
Input Image
Assume that following is the input image sample.jpg specified in the above program.
Output Image
On executing the program, you will get the following output.
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