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A value type representation of the C# Tuple is Value Type Tuple. It was introduced in C# 7.0.Note − Add System.ValueTuple package to run ValueTuple program.Let’s see how to add it −Go to your projectRight click on the project in the Solution ExplorerSelect “Manage NuGet Packages”You will reach the NuGet Package Manager.Now, click the Browse tab and find “ValueTuple”Finally, add System.ValueTuple packageExampleusing System; class Program { static void Main() { var val = (5, 50, 500, 5000); Console.WriteLine("Add System.ValueTuple package to run this program!"); if (val.Item2 == 50) { Console.WriteLine(val); } } }OutputThe following is the output.(5, 50, 500, 5000);
You can compute the bitwise conjunction between two images using the bitwise_not() method of the org.opencv.core.Core class.This method accepts two Mat objects representing the source and destination matrices, calculates the inverse of each element in the source matrix and stores the result in the destination matrix.Exampleimport org.opencv.core.Core; import org.opencv.core.Mat; import org.opencv.highgui.HighGui; import org.opencv.imgcodecs.Imgcodecs; public class BitwiseNOTExample { public static void main(String args[]) throws Exception { //Loading the OpenCV core library System.loadLibrary( Core.NATIVE_LIBRARY_NAME ); //Reading the Image String file ="D://images//elephant.jpg"; Mat src = Imgcodecs.imread(file); ... Read More
A digital image is stored as a 2D array of pixels and a pixel is the smallest element of a digital image.Each pixel contains the values of alpha, red, green, blue values and the value of each color lies between 0 to 255 which consumes 8 bits (2^8).The ARGB values are stored in 4 bytes of memory in the same order (right to left) with blue value at 0-7 bits, Green value at 8-15 bits, Red value at 16-23 bits and, alpha at 24-31 bits.Retrieving the pixel contents (ARGB values) of an image −To get the pixel values from an ... Read More
You can draw makers on an image using the drawMarker() method of the org.opencv.imgproc.Imgproc class. This method accepts the following parameters −img − A Mat object representing the input image.position − An object of the class Point to specify the position of the marker.color − An object of the class Scalar to specify the color of the marker.markerType − An integer constant specifying the type of the marker.size − An integer value specifying the size of the marker.thickness − An integer value specifying the thickness of the marker.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 ... Read More
The detect() method of the org.opencv.features2d.Feature2D (abstract) class detects the key points of the given image. To this method, you need to pass a Mat object representing the source image and an empty MatOfKeyPoint object to hold the read key points.The drawMatches() method of the org.opencv.features2d.Feature2D class finds the matches between the key points of the two given images and draws them. This method accepts the following parameters −src1 − An object of the Mat class representing the first source image.keypoints1 − An object of the MatOfKeyPoint class representing the Key points of the first source image.src2 − An object of the ... Read More
The detect() method of the org.opencv.features2d.Feature2D (abstract) class detects the key points of the given image. To this method, you need to pass a Mat the object representing the source image and an empty MatOfKeyPoint object to hold the read key points.You can draw the draw key points on the image using the drawKeypoints() method of the org.opencv.features2d.Features2d class.NoteSince Feature2D is an abstract class you need to instantiate one of its subclasses to invoke the detect() method. Here we have used the FastFeatureDetector class.Features2D and Features2d are two different classes of the package features2d don’t get confused...Exampleimport org.opencv.core.Core; import org.opencv.core.Mat; ... Read More
Contours are nothing but the line joining all the points along the boundary of a particular shape. Using this you can −Find the shape of an object.Calculate the area of an object.Detect an object.Recognize an object.You can find the contours of various shapes, objects in an image using the findContours() method. In the same way you can drawYou can also find the area of the shapes in the given input images. To do so you need to invoke the contourArea() method of the Imgproc class. This method accepts the contour of a particular shape, finds and returns its area.ExampleFollowing java ... Read More
Contours are nothing but the line joining all the points along the boundary of a particular shape. Using this you can −Find the shape of an object.Calculate the area of an object.Detect an object.Recognize an object.You can find the contours of various shapes, objects in an image using the findContours() method. This method accepts the following parameters −A binary image.An empty list object of type MatOfPoint to store the contours.An empty Mat object to store the image topology.Two integer variables to specify the mode and method to find the contours of the given image.Exampleimport java.util.ArrayList; import java.util.Iterator; import java.util.List; import ... Read More
JShell tool has introduced in Java 9 that provides a fast and friendly environment that enables us to quickly explore, discover, and experiment with Java language features and extensive libraries.When the code entered into the JShell console, it is processed by JLine. It is a Java library that allows us to capture on a console. Once the code has been entered, it is parsed by JShell parser in order to determine its type (method, variable, etc.).JShell Parser is wrapped in a class with the following rules:All imports are placed at the top of this class.Variables, methods and class declarations become static members ... Read More
You can compute bitwise conjunction between two images using the bitwise_and() method of the org.opencv.core.Core class.This method accepts three Mat objects representing the source, destination and result matrices, calculates the bitwise conjunction of each every element in the source matrices and stores the result in the destination matrix.ExampleIn the following Java example we are converting an image into binary and gray scale and calculating the bitwise conjunction of the results.import 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 BitwiseAndExample { public static void main(String args[]) throws Exception { //Loading the OpenCV core library ... Read More