// 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.Filters.Integral;
import Catalano.Imaging.FastBitmap;
import Catalano.Imaging.IApplyInPlace;
import Catalano.Imaging.Tools.IntegralImage;
/**
* Variance filter using integral images.
* @author Diego Catalano
*/
public class IntegralVariance implements IApplyInPlace{
private int radius;
/**
* Get radius.
* @return Radius.
*/
public int getRadius() {
return radius;
}
/**
* Set radius.
* @param radius Radius.
*/
public void setRadius(int radius) {
this.radius = Math.max(1, radius);
}
/**
* Initialize a new instance of the IntegralVariance class.
*/
public IntegralVariance() {
this(1);
}
/**
* Initialize a new instance of the IntegralVariance class.
* @param radius Radius.
*/
public IntegralVariance(int radius) {
this.radius = radius;
}
@Override
public void applyInPlace(FastBitmap fastBitmap) {
if(fastBitmap.isGrayscale()){
//Compute the integral image with power 1.
IntegralImage intImage = new IntegralImage(fastBitmap);
//Compute the integral image with power 2.
IntegralImage intImage2 = new IntegralImage(fastBitmap, 2);
int width = fastBitmap.getWidth();
int height = fastBitmap.getHeight();
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
float m1 = intImage.getRectangleMean(i, j, radius);
float m2 = intImage2.getRectangleMean(i, j, radius);
float val = m2 - (m1*m1);
fastBitmap.setGray(i, j, fastBitmap.clampValues((int)val, 0, 255));
}
}
}
else{
throw new IllegalArgumentException("Integral variance only works in grayscale images.");
}
}
}
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