Java tutorial
/* * Copyright (C) 2016 Marvin Ferber. * * Licensed under the Apache License, Version 2.0 (the "License"); you may not * use this file except in compliance with the License. You may obtain a copy of * the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the * License for the specific language governing permissions and limitations under * the License. */ package com.github.rosjava_catkin_package_a.ARLocROS; import java.util.Arrays; import org.opencv.core.CvType; import org.opencv.core.Mat; import sensor_msgs.Image; public class Utils { static public Mat matFromImage(final Image source) throws Exception { byte[] imageInBytes = source.getData().array(); imageInBytes = Arrays.copyOfRange(imageInBytes, source.getData().arrayOffset(), imageInBytes.length); Mat cvImage = new Mat(source.getHeight(), source.getWidth(), CvType.CV_8UC3); cvImage.put(0, 0, imageInBytes); return cvImage; } static public void tresholdContrastBlackWhite(Mat image2, double d) { int width = image2.width(); int height = image2.height(); for (int i = 0; i < width; i++) for (int j = 0; j < height; j++) { double[] rgb = image2.get(j, i); double[] rgbnew = new double[rgb.length]; if (rgb[0] + rgb[1] + rgb[2] < d) rgbnew[0] = rgbnew[1] = rgbnew[2] = 0.0; else rgbnew[0] = rgbnew[1] = rgbnew[2] = 255.0; image2.put(j, i, rgbnew); } } }