// Catalano Imaging Library
// The Catalano Framework
//
// Copyright © Diego Catalano, 2012-2016
// diego.catalano at live.com
//
// This library is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 2.1 of the License, or (at your option) any later version.
//
// This library 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
// Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License along with this library; if not, write to the Free Software
// Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
//
package Catalano.Imaging.Tools;
import Catalano.Core.ArraysUtil;
import Catalano.Imaging.FastBitmap;
import Catalano.Imaging.Filters.Crop;
import Catalano.Imaging.Texture.BinaryPattern.IBinaryPattern;
import java.util.ArrayList;
import java.util.List;
/**
* Spatial Histogram.
* @author Diego Catalano
*/
public class SpatialHistogram {
private int wBlock;
private int hBlock;
/**
* Initializes a new instance of the SpatialHistogram class.
*/
public SpatialHistogram() {
this(6,6);
}
/**
* Initializes a new instance of the SpatialHistogram class.
* @param wBlock Number of width blocks.
* @param hBlock Number of height blocks.
*/
public SpatialHistogram(int wBlock, int hBlock) {
this.wBlock = wBlock;
this.hBlock = hBlock;
}
/**
* Compute the spatial histogram.
* @param fastBitmap Image to be processed.
* @param pattern Binary pattern.
* @return Spatial Histogram.
*/
public int[] Compute(FastBitmap fastBitmap, IBinaryPattern pattern){
int width = fastBitmap.getWidth();
int height = fastBitmap.getHeight();
int wDiv = (int)Math.round((double)width / (double)wBlock) - 1;
int hDiv = (int)Math.round((double)height / (double)hBlock) - 1;
ImageHistogram[] hist = new ImageHistogram[wBlock * hBlock];
int idx = 0;
for (int i = 0; i < hBlock; i++) {
for (int j = 0; j < wBlock; j++) {
FastBitmap copy = getSubimage(fastBitmap, i*hDiv, j*wDiv, wDiv, hDiv);
hist[idx++] = pattern.ComputeFeatures(copy);
}
}
//Concatenate all the histograms
int[] all = new int[hist.length * hist[0].getValues().length];
idx = 0;
for (int i = 0; i < hist.length; i++) {
int[] values = hist[i].getValues();
for (int j = 0; j < values.length; j++) {
all[idx++] = values[j];
}
}
return all;
}
/**
* Compute the spatial histogram.
* @param fastBitmap Image to be processed.
* @param features Aggregate vectors.
* @return Spatial features.
*/
public double[] Compute(FastBitmap fastBitmap, IAggregateVectors features){
int width = fastBitmap.getWidth();
int height = fastBitmap.getHeight();
int wDiv = (int)Math.round((double)width / (double)wBlock) - 1;
int hDiv = (int)Math.round((double)height / (double)hBlock) - 1;
List lst = new ArrayList();
for (int i = 0; i < hBlock; i++) {
for (int j = 0; j < wBlock; j++) {
FastBitmap copy = getSubimage(fastBitmap, i*hDiv, j*wDiv, wDiv, hDiv);
lst.add(features.Compute(copy));
}
}
//Concatenate all the histograms
return ArraysUtil.ConcatenateDouble(lst);
}
private FastBitmap getSubimage(FastBitmap fastBitmap, int x, int y, int width, int height){
FastBitmap copy = new FastBitmap(fastBitmap);
Crop crop = new Crop(x, y, width, height);
crop.applyInPlace(copy);
return copy;
}
}
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