可以使用imgproc
类的warpAffine()
方法在图像上执行仿射转换。 以下是这种方法的语法 -
Imgproc.warpAffine(src, dst, tranformMatrix, size);
该方法接受以下参数 -
Mat
对象。Mat
对象。Mat
对象。示例
以下程序演示如何对给定图像应用仿射操作。
package com.zyiz.geometric; 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.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc; public class AffineTranslation { 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 ="F:/worksp/opencv/images/transform_input.jpg"; Mat src = Imgcodecs.imread(file); //Creating an empty matrix to store the result Mat dst = new Mat(); Point p1 = new Point( 0,0 ); Point p2 = new Point( src.cols() - 1, 0 ); Point p3 = new Point( 0, src.rows() - 1 ); Point p4 = new Point( src.cols()*0.0, src.rows()*0.33 ); Point p5 = new Point( src.cols()*0.85, src.rows()*0.25 ); Point p6 = new Point( src.cols()*0.15, src.rows()*0.7 ); MatOfPoint2f ma1 = new MatOfPoint2f(p1,p2,p3); MatOfPoint2f ma2 = new MatOfPoint2f(p4,p5,p6); // Creating the transformation matrix Mat tranformMatrix = Imgproc.getAffineTransform(ma1,ma2); // Creating object of the class Size Size size = new Size(src.cols(), src.cols()); // Applying Wrap Affine Imgproc.warpAffine(src, dst, tranformMatrix, size); // Writing the image Imgcodecs.imwrite("F:/worksp/opencv/images/affinetranslate.jpg", dst); System.out.println("Image Processed"); } }
假定以下是上述程序中指定的输入图像:transform_input.jpg
。
执行上面示例代码,得到以下结果 -