Java tutorial
/* Copyright 2016 Michael Sladoje and Mike Schlchli. All Rights Reserved. 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 ch.zhaw.facerecognitionlibrary.PreProcessor.Contours; import org.opencv.core.Mat; import org.opencv.core.Size; import org.opencv.imgproc.Imgproc; import java.util.ArrayList; import java.util.BitSet; import java.util.List; import ch.zhaw.facerecognitionlibrary.Helpers.FileHelper; import ch.zhaw.facerecognitionlibrary.Helpers.MatName; import ch.zhaw.facerecognitionlibrary.PreProcessor.Command; import ch.zhaw.facerecognitionlibrary.PreProcessor.PreProcessor; public class LocalBinaryPattern implements Command { @Override public PreProcessor preprocessImage(PreProcessor preProcessor) { List<Mat> images = preProcessor.getImages(); List<Mat> processed = new ArrayList<Mat>(); for (Mat img : images) { // Resize for Performance enhancement Size size = new Size(preProcessor.getN(), preProcessor.getN()); Imgproc.resize(img, img, size); Mat lbp = new Mat(img.rows() - 2, img.cols() - 2, img.type()); for (int i = 1; i < img.rows() - 1; i++) { for (int j = 1; j < img.cols() - 1; j++) { BitSet out = new BitSet(8); double cen = img.get(i, j)[0]; if (img.get(i - 1, j - 1)[0] > cen) out.set(0); if (img.get(i - 1, j)[0] > cen) out.set(1); if (img.get(i - 1, j + 1)[0] > cen) out.set(2); if (img.get(i, j + 1)[0] > cen) out.set(3); if (img.get(i + 1, j + 1)[0] > cen) out.set(4); if (img.get(i + 1, j)[0] > cen) out.set(5); if (img.get(i + 1, j - 1)[0] > cen) out.set(6); if (img.get(i, j - 1)[0] > cen) out.set(7); int value = 0; for (int k = 0; k < out.length(); k++) { int index = out.nextSetBit(k); value += Math.pow(2, out.length() - 1 - index); k = index; } lbp.put(i - 1, j - 1, value); } } processed.add(lbp); } preProcessor.setImages(processed); return preProcessor; } }