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Java Articles
Page 326 of 450
Explain JavaFX Scene Graph
In JavaFX, the GUI Applications were constructed using a Scene Graph. A scene graph is a data structure similar to tree, in modern graphical applications. It is the starting point of the application, and it is a collection of nodesTo display something in JavaFX You need to construct a scene graph using the nodes and set it to an object of the Stage class, the top level container of a JavaFX application.A node is a visual/graphical primitive object of a JavaFX application.Each node in the scene graph has a single parent, and the node which does not contain any parents ...
Read MoreExplain the features of JavaFX
Following are some of the important features of JavaFX −Written in Java − The JavaFX library is written in Java and is available for the languages that can be executed on a JVM, which include − Java, Groovy and JRuby. These JavaFX applications are also platform-independent.FXML − JavaFX features a language known as FXML, which is an HTML like declarative markup language. The sole purpose of this language is to define a user interface.Scene Builder − JavaFX provides an application named Scene Builder. On integrating this application in IDE’s such as Eclipse and NetBeans, the users can access the drag ...
Read MoreHow to blend to images using OpenCV Java?
You can blend two images in OpenCV using the addWeighted() method of the Core class.This method accepts two Mat objects (representing the source and destination matrices) and two double values representing the desired weights of the images alpha, gamma and calculates the weighted sum of them.Exampleimport org.opencv.core.Core; import org.opencv.core.Mat; import org.opencv.highgui.HighGui; import org.opencv.imgcodecs.Imgcodecs; public class AddingTwoImages { public static void main( String[] args ) { //Loading the OpenCV core library System.loadLibrary( Core.NATIVE_LIBRARY_NAME ); //Reading the input images Mat src1 = Imgcodecs.imread("D://images//a1.jpg"); Mat src2 = Imgcodecs.imread("D://images//a2.jpg"); ...
Read MoreWhat is masking an image in OpenCV?
In mask operations the value of each pixel of an image is recalculated based on a given mask matrix, this is known as the kernel. Masking is otherwise known as filtering.The filter2D() method of the Imgproc class accepts a source, destination and kernel matrices and convolves the source matrix with the kernel matrix. Using this method you can mask or filter an image.Exampleimport org.opencv.core.Core; import org.opencv.core.CvType; import org.opencv.core.Mat; import org.opencv.highgui.HighGui; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc; public class MaskingExample { public static void main( String[] args ) { //Loading the OpenCV core library System.loadLibrary( Core.NATIVE_LIBRARY_NAME ...
Read MoreHow to setup OpenCV Java with eclipse?
To setup JavaFx in eclipse, first of all, make sure that you have installed eclipse and Java in your system successfully.Maven dependencyTo set up JavaFX environment using maven dependency, create a Java project in eclipse convert it into a maven project as shown below −Then in the pom.xml file add the following JavaFX dependency and refresh the project. org.bytedeco opencv 4.1.0-1.5.1 If you observe the Maven Dependencies directory you can find the installed Jar files as shown below −Adding required Jar files manuallyYou can also add the required JAR files manually, to do soVisit the OpenCV home ...
Read MoreExplain OpenCV Adaptive Threshold using Java Example
Thresholding is a simple technique for the segmentation of an image. it is often used to create binary images. In this, the pixels greater than a given threshold value will be replaced with a standard value.Adaptive thresholding is the method where the threshold value is calculated for smaller regions and therefore, there will be different threshold values for different regions.The adaptiveThreshold() method performs the Adaptive Threshold operation on the given image. Following are the parameters of this method −Two Mat objects representing the source and destination images.An integer variable representing the threshold value.Two integer variables representing the adaptive method and ...
Read MoreJava example demonstrating Scharr edge detection in OpenCV.
The Scharr operator for edge detections allows you to find the edges in a given image in both horizontal and vertical directions.The Scharr() method of the Imgproc class applies the Scharr edge detection algorithm on the given image. This method accepts −Two Mat objects representing the source and destination images.An integer variable representing the depth of an image.Two double variables to hold the x and y derivatives.Exampleimport org.opencv.core.Core; import org.opencv.core.Mat; import org.opencv.highgui.HighGui; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc; public class ScharrEdgeDetection { public static void main(String args[]) { //Loading the OpenCV core library System.loadLibrary( Core.NATIVE_LIBRARY_NAME ); ...
Read MoreExplain OpenCV Distance Transformation using java Example
The distance transform, in general, is a derived representation of a digital image. In this operation, the gray level intensities of the points inside the foreground regions are changed to distance their respective distances from the closest 0 value (boundary).The distanceTransform() method of the Imgproc class applies Distance Transform on the given image, this method accepts −Two Mat objects representing the source and destination images.An integer variable representing the type of the distance transformation to be applied.An integer value representing the mask size to be used.Exampleimport java.awt.Image; import java.awt.image.BufferedImage; import java.io.IOException; import javafx.application.Application; import javafx.embed.swing.SwingFXUtils; import javafx.scene.Group; import javafx.scene.Scene; import ...
Read MoreExplain OpenCV Laplacian Transformation using java Example
The Laplacian transform on an image highlights the regions where there is a rapid intensity change. Therefore, it is used to detect edges.The Laplacian() method of the Imgproc class applies Laplacian Transform on the given image, this method accepts −Two Mat objects representing the source and destination images.Four integer variables representing the depth, size, scale and, delta values of the transform.An integer value representing the border.Exampleimport java.awt.Image; import java.awt.image.BufferedImage; 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.CvType; import org.opencv.core.Mat; import org.opencv.highgui.HighGui; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc; public class LaplacianTransform ...
Read MoreJava implementation of OpenCV Hough Circle Transform.
You can detect circles in a given image using the Hough circle transform. You can apply Hough Circle transform using the HoughCircles() method, this method accept the following parameters −A Mat object representing the input image.A Mat object to store the output vectors of the found circles.An integers variables representing the detection method.Two double variables representing an inverse ratio of the accumulator resolution to the image resolution and minimum distance between the centers of the detected circles.Exampleimport org.opencv.core.Core; import org.opencv.core.Mat; import org.opencv.core.Point; import org.opencv.core.Scalar; import org.opencv.highgui.HighGui; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc; import java.awt.Image; import java.awt.image.BufferedImage; import java.io.IOException; import javafx.application.Application; import javafx.embed.swing.SwingFXUtils; ...
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