The applyColorMap() method of the Imgproc class applies specified color map to the given image. This method accepts three parameters −Two Mat objects representing the source and destination images.An integer variable representing the type of the color map to be applied.You can pass any of the following as color map ... Read More

The equalizeHist() method of the Imgproc class accepts a greyscale image and equalizes its histogram, which will, in turn, normalizes the brightness and increases the contrast of the given image. This method accepts two parameters −A Mat object representing the source image (greyscale).A Mat object to save the result.ExampleFollowing Java ... Read More

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() ... 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 ... 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 ... 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 ... 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 ... 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 ... 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 ... 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 ... Read More