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To add noise to a given image using OpenCV −Read the contents of the given image to a Mat object.Create two more empty matrices to store the noise and the resultant matrices.Create two MatOfDouble matrices to store mean and standard deviation.Get the mean and standard deviation values using the meanStdDev() method.Create a matrix with random elements (to store the noise) using the randn() method.To this method pass the above-created source, mean and standard deviation objects.Finally, add the noise matrix and source matrix and save as destination.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 More
The resize() method of the Imgproc class resizes the specified image. This method accepts −Two Mat objects representing the source and destination images.A Size object representing the size of the output image.A double variable representing the scale factor along the horizontal axis.A double variable representing the scale factor along the vertical axis.An integer variable representing the interpolation method to be used in the operation.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.Mat; import org.opencv.core.Size; import org.opencv.highgui.HighGui; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc; public class ScalingAnImage extends Application { ... Read More
The warpAffine() method of the Imgproc class applies an affine transformation to the specified image. This method accepts −Three Mat objects representing the source, destination, and transformation matrices.An integer value representing the size of the output image.To translate an image Create a translation matrix and pass it as a transformation matrix to this method along with the other parameters.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.Mat; import org.opencv.core.MatOfPoint2f; import org.opencv.core.Point; import org.opencv.core.Size; import org.opencv.highgui.HighGui; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc; public class TranslatingAnImage extends Application { ... Read More
The warpAffine() method of the Imgproc class applies an affine transformation to the specified image. This method accepts −Three Mat objects representing the source, destination, and transformation matrices.An integer value representing the size of the output image.To rotate an image Create a rotation matrix and pass it as a transformation matrix to this method along with the other parameters.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.Mat; import org.opencv.core.Point; import org.opencv.core.Size; import org.opencv.highgui.HighGui; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc; public class RotatingAnImage extends Application { public ... Read More
Erosion and dilation are the two basic morphological operations. As the name implies, morphological operations are the set of operations that process images according to their shapes.During dilation operation additional pixels are added to an image boundary, a total number of pixels added during the dilation process depends on the dimensions of the structuring element used.You can dilate an image using the dilate() method of the Imgproc class, this method three mat objects representing source, destination, and kernel.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 ... Read More
Erosion and dilation are the two basic morphological operations. As the name implies, morphological operations are the set of operations that process images according to their shapes.During erosion operation, additional pixels are removed from image boundaries, total number of pixels removed during the erosion process depends on the dimensions of the structuring element used.You can perform erosion operation on an image using the erode() method of the Imgproc class, this method three mat objects representing source, destination, and kernel.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; ... Read More
You can blur an image by filtering it using a low-pass filter, this removes high frequency content (noise, edges) from an image.Median Blurring is one of the blurring techniques provided by OpenCV, it is highly efficient in removing salt and pepper noise of an image. This replaces the central element with the median of all the pixels in the kernel area.You can filter/blur an image by this technique using the medianBlur() method, this method acceptsTwo Mat objects representing the source and destination images.A Size object representing the size of the kernel.Exampleimport java.awt.Image; import java.awt.image.BufferedImage; import java.io.IOException; import org.opencv.core.Core; import org.opencv.core.Mat; ... Read More
You can compute bitwise exclusive or between two images using the bitwise_xor() method of the org.opencv.core.Core class.This method accepts three Mat objects representing the source, destination, and result matrices, calculates the bitwise exclusive or of each 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 exclusive or 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 BitwiseXORExample { public static void main(String args[]) throws Exception { //Loading the OpenCV core ... Read More
You can blur an image by filtering it using a low-pass filter, this removes high frequency content (noise, edges) from an image. Bilateral Filtering is one of the blurring techniques provided by OpenCV, it −removes noise efficientlykeeps the edges sharpComparatively slowYou can apply the bilateral filter on an image using the bilateralFilter() method, this method acceptsTwo Mat objects representing the source and destination images.An integer representing the diameter of the pixel neighborhood.Two integer variables of the type integer representing the filter sigma in the color space and coordinate space.An Integer object representing the type of the border used.Exampleimport java.awt.Image; import ... Read More
You can blur an image by filtering it using a low-pass filter, this removes high frequency content (noise, edges) from an image.Gaussian Blurring is one of the blurring techniques provided by OpenCV, it is highly efficient in removing the noise of an image. This replaces the central element with the average of all the pixels in the kernel area.You can filter/blur an image by this technique using the GaussianBlur() method, this method accepts −Two Mat objects representing the source and destination images.A Size object representing the size of the kernel.A variable of the type double representing the Gaussian kernel standard ... Read More