/*
* This file is part of the LIRE project: http://lire-project.net
* 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
*
* Updated: 04.05.13 11:18
*/
package net.semanticmetadata.lire.imageanalysis.features.local.sift;
import java.awt.image.BufferedImage;
import java.awt.image.Raster;
public class ImageArrayConverter {
public static boolean CUTOFF_VALUES = true;
public static boolean NORM_VALUES = false;
// public static ImagePlus FloatArrayToImagePlus(FloatArray2D image, String hashFunctionsFileName, float min, float max)
// {
// ImagePlus imp = IJ.createImage(hashFunctionsFileName,"32-Bit Black", image.width, image.height, 1);
// FloatProcessor ip = (FloatProcessor)imp.getProcessor();
// FloatArrayToFloatProcessor(ip, image);
//
// if (min == max)
// ip.resetMinAndMax();
// else
// ip.setMinAndMax(min, max);
//
// imp.updateAndDraw();
//
// return imp;
// }
public static FloatArray2D ImageToFloatArray2D(BufferedImage ip) {
FloatArray2D image;
Raster pixelArray = ip.getRaster();
int count = 0;
int[] rgb = new int[3];
image = new FloatArray2D(ip.getWidth(), ip.getHeight());
for (int y = 0; y < ip.getHeight(); y++) {
for (int x = 0; x < ip.getWidth(); x++) {
rgb = pixelArray.getPixel(x, y, rgb);
int b = rgb[2];
int g = rgb[1];
int r = rgb[0];
image.data[count] = 0.3f * r + 0.6f * g + 0.1f * b;
count++;
}
}
return image;
}
// public static void ArrayToByteProcessor(ImageProcessor ip, int[][] pixels)
// {
// byte[] data = new byte[pixels.length * pixels[0].length];
//
// int count = 0;
// for (int y = 0; y < pixels[0].length; y++)
// for (int x = 0; x < pixels.length; x++)
// data[count++] = (byte)(pixels[x][y] & 0xff);
//
// ip.setPixels(data);
// }
//
// public static void ArrayToByteProcessor(ImageProcessor ip, float[][] pixels)
// {
// byte[] data = new byte[pixels.length * pixels[0].length];
//
// int count = 0;
// for (int y = 0; y < pixels[0].length; y++)
// for (int x = 0; x < pixels.length; x++)
// data[count++] = (byte)(((int)pixels[x][y]) & 0xff);
//
// ip.setPixels(data);
// }
//
// public static void ArrayToFloatProcessor(ImageProcessor ip, double[] pixels, int width, int height)
// {
// float[] data = new float[width * height];
//
// int count = 0;
// for (int y = 0; y < height; y++)
// for (int x = 0; x < width; x++)
// data[count] = (float)pixels[count++];
//
// ip.setPixels(data);
// ip.resetMinAndMax();
// }
//
// public static void ArrayToFloatProcessor(ImageProcessor ip, float[] pixels, int width, int height)
// {
// float[] data = new float[width * height];
//
// int count = 0;
// for (int y = 0; y < height; y++)
// for (int x = 0; x < width; x++)
// data[count] = (float)pixels[count++];
//
// ip.setPixels(data);
// ip.resetMinAndMax();
// }
//
// public static void FloatArrayToFloatProcessor(ImageProcessor ip, FloatArray2D pixels)
// {
// float[] data = new float[pixels.width * pixels.height];
//
// int count = 0;
// for (int y = 0; y < pixels.height; y++)
// for (int x = 0; x < pixels.width; x++)
// data[count] = pixels.data[count++];
//
// ip.setPixels(data);
// ip.resetMinAndMax();
// }
//
// public static void normPixelValuesToByte(int[][] pixels, boolean cutoff)
// {
// int max = 0, min = 255;
//
// // check minmal and maximal values or cut of values that are higher or lower than 255 resp. 0
// for (int y = 0; y < pixels[0].length; y++)
// for (int x = 0; x < pixels.length; x++)
// {
// if (cutoff)
// {
// if (pixels[x][y] < 0)
// pixels[x][y] = 0;
//
// if (pixels[x][y] > 255)
// pixels[x][y] = 255;
// }
// else
// {
// if (pixels[x][y] < min)
// min = pixels[x][y];
//
// if (pixels[x][y] > max)
// max = pixels[x][y];
// }
// }
//
// if (cutoff)
// return;
//
//
// // if they do not match bytevalues we have to do something
// if (max > 255 || min < 0)
// {
// double factor;
//
// factor = (max-min) / 255.0;
//
// for (int y = 0; y < pixels[0].length; y++)
// for (int x = 0; x < pixels.length; x++)
// pixels[x][y] = (int)((pixels[x][y] - min) / factor);
// }
// }
//
// public static void normPixelValuesToByte(float[][] pixels, boolean cutoff)
// {
// float max = 0, min = 255;
//
// // check minmal and maximal values or cut of values that are higher or lower than 255 resp. 0
// for (int y = 0; y < pixels[0].length; y++)
// for (int x = 0; x < pixels.length; x++)
// {
// if (cutoff)
// {
// if (pixels[x][y] < 0)
// pixels[x][y] = 0;
//
// if (pixels[x][y] > 255)
// pixels[x][y] = 255;
// }
// else
// {
// if (pixels[x][y] < min)
// min = pixels[x][y];
//
// if (pixels[x][y] > max)
// max = pixels[x][y];
// }
// }
//
// if (cutoff)
// return;
//
//
// // if they do not match bytevalues we have to do something
// if (max > 255 || min < 0)
// {
// double factor;
//
// factor = (max-min) / 255.0;
//
// for (int y = 0; y < pixels[0].length; y++)
// for (int x = 0; x < pixels.length; x++)
// pixels[x][y] = (int)((pixels[x][y] - min) / factor);
// }
// }
//
}