- 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 - Rotation
You can perform rotation operation on an image using the warpAffine() method of the imgproc class. Following is the syntax of this method −
Imgproc.warpAffine(src, dst, rotationMatrix, size);
This method accepts the following parameters −
src − A Mat object representing the source (input image) for this operation.
dst − A Mat object representing the destination (output image) for this operation.
rotationMatrix − A Mat object representing the rotation matrix.
size − A variable of the type integer representing the size of the output image.
Example
The following program demonstrates how to rotate an image.
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.Point;
import org.opencv.core.Size;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
public class Rotation {
public static void main(String args[]) {
// Loading the OpenCV core library
System.loadLibrary( Core.NATIVE_LIBRARY_NAME );
// Reading the Image from the file and storing it in to a Matrix object
String file ="E:/OpenCV/chap24/transform_input.jpg";
Mat src="/?originalUrl=https%3A%2F%2Fdev.tutorialspoint.com%2FImgcodecs.imread(file)%3B%2520%2520%2520%2520%2520%2520%2F%2F%2520Creating%2520an%2520empty%2520matrix%2520to%2520store%2520the%2520result%2520%2520%2520%2520%2520%2520Mat%2520dst%2520%3D%2520new%2520Mat()%3B%2520%2520%2520%2520%2520%2520%2F%2F%2520Creating%2520a%2520Point%2520object%2520%2520%2520%2520%2520%2520Point%2520point%2520%3D%2520new%2520Point(300%2C%2520200)%2520%2520%2520%2520%2520%2520%2F%2F%2520Creating%2520the%2520transformation%2520matrix%2520M%2520%2520%2520%2520%2520%2520Mat%2520rotationMatrix%2520%3D%2520Imgproc.getRotationMatrix2D(point%2C%252030%2C%25201)%3B%2520%2520%2520%2520%2520%2520%2F%2F%2520Creating%2520the%2520object%2520of%2520the%2520class%2520Size%2520%2520%2520%2520%2520%2520Size%2520size%2520%3D%2520new%2520Size(src.cols()%2C%2520src.cols())%3B%2520%2520%2520%2520%2520%2520%2F%2F%2520Rotating%2520the%2520given%2520image%2520%2520%2520%2520%2520%2520Imgproc.warpAffine(src%2C%2520dst%2C%2520rotationMatrix%2C%2520size)%3B%2520%2520%2520%2520%2520%2520%2F%2F%2520Writing%2520the%2520image%2520%2520%2520%2520%2520%2520Imgcodecs.imwrite("E:/OpenCV/chap24/rotate_output.jpg", dst);
System.out.println("Image Processed");
}
}
Assume that following is the input image transform_input.jpg specified in the above program.
Output
On executing the program, you will get the following output −
Image Processed
If you open the specified path, you can observe the output image as follows −