/*
* This file is part of the LIRE project: http://www.semanticmetadata.net/lire
* LIRE is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* LIRE is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with LIRE; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* We kindly ask you to refer the any or one of the following publications in
* any publication mentioning or employing Lire:
*
* Lux Mathias, Savvas A. Chatzichristofis. Lire: Lucene Image Retrieval –
* An Extensible Java CBIR Library. In proceedings of the 16th ACM International
* Conference on Multimedia, pp. 1085-1088, Vancouver, Canada, 2008
* URL: http://doi.acm.org/10.1145/1459359.1459577
*
* Lux Mathias. Content Based Image Retrieval with LIRE. In proceedings of the
* 19th ACM International Conference on Multimedia, pp. 735-738, Scottsdale,
* Arizona, USA, 2011
* URL: http://dl.acm.org/citation.cfm?id=2072432
*
* Mathias Lux, Oge Marques. Visual Information Retrieval using Java and LIRE
* Morgan & Claypool, 2013
* URL: http://www.morganclaypool.com/doi/abs/10.2200/S00468ED1V01Y201301ICR025
*
* Copyright statement:
* --------------------
* (c) 2002-2013 by Mathias Lux (mathias@juggle.at)
* http://www.semanticmetadata.net/lire, http://www.lire-project.net
*/
package net.semanticmetadata.lire.imageanalysis;
import junit.framework.TestCase;
import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.FileInputStream;
import java.io.IOException;
import java.util.Arrays;
/**
* Basic tests of the local binary patterns feature.
* User: Mathias Lux
* Time: 21.06.13, 14:10
*/
public class LocalBinaryPatternsTest extends TestCase {
private String[] testFiles = new String[]{"img01.jpg", "img02.jpg", "img03.jpg", "img04.jpg", "img05.jpg", "img06.jpg", "img07.jpg", "img08.jpg", "img09.jpg", "img10.jpg"};
private String testFilesPath = "src/test/resources/small/";
public void testExtraction() throws IOException {
LocalBinaryPatterns feature = new LocalBinaryPatterns();
BufferedImage image = ImageIO.read(new FileInputStream(testFilesPath + testFiles[0]));
System.out.println("image = " + image.getWidth() + " x " + image.getHeight());
feature.extract(image);
// for (int i = 0; i < feature.getDoubleHistogram().length; i++) {
// double v = feature.getDoubleHistogram()[i];
// if (v>0) System.out.println(i);
// }
System.out.println("feature = " + Arrays.toString(feature.getDoubleHistogram()));
}
public void testSerialization() throws IOException {
LocalBinaryPatterns feature = new LocalBinaryPatterns();
LocalBinaryPatterns feature2 = new LocalBinaryPatterns();
for (int i = 0; i < testFiles.length; i++) {
String testFile = testFiles[i];
BufferedImage image = ImageIO.read(new FileInputStream(testFilesPath + testFile));
feature.extract(image);
feature2.setByteArrayRepresentation(feature.getByteArrayRepresentation());
assertTrue(feature.getDistance(feature2) == 0);
// System.out.println("feature = " + Arrays.toString(feature.getDoubleHistogram()));
}
}
}