// 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;
import Catalano.Imaging.FastBitmap;
import Catalano.Imaging.IApplyInPlace;
/**
* Separable Convolution filter.
* @author Diego Catalano
*/
public class SeparableConvolution implements IApplyInPlace{
private int width,height;
private double[] kernelX;
private double[] kernelY;
private boolean replicate = false;
/**
* Verify if needs replicate pixels when is out of border.
* @return Replicate.
*/
public boolean isReplicate() {
return replicate;
}
/**
* Replicate pixels out of border.
* @param replicate Replicate.
*/
public void setReplicate(boolean replicate) {
this.replicate = replicate;
}
/**
* Initialize a new instance of the SeparableConvolution class.
*/
public SeparableConvolution() {}
/**
* Initialize a new instance of the SeparableConvolution class.
* @param kernelX X - Structuring element.
* @param kernelY Y - Structuring element.
*/
public SeparableConvolution(double[] kernelX, double[] kernelY) {
this.kernelX = kernelX;
this.kernelY = kernelY;
}
/**
* Initialize a new instance of the SeparableConvolution class.
* @param kernelX X - Structuring element.
* @param kernelY Y - Structuring element.
* @param replicate Replicate pixels out of border.
*/
public SeparableConvolution(double[] kernelX, double[] kernelY, boolean replicate) {
this.kernelX = kernelX;
this.kernelY = kernelY;
this.replicate = replicate;
}
@Override
public void applyInPlace(FastBitmap fastBitmap){
this.width = fastBitmap.getWidth();
this.height = fastBitmap.getHeight();
int Xline,Yline;
int lines = (kernelX.length - 1) / 2;
if (fastBitmap.isGrayscale()) {
double[][] copy = new double[height][width];
double gray;
//Horizontal orientation
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
gray = 0;
for (int k = 0; k < kernelX.length; k++) {
Yline = j - lines + k;
if ((Yline >=0) && (Yline < width)) {
gray += kernelX[k] * fastBitmap.getGray(i, Yline);
}
else if (replicate){
int c = j + k - lines;
if (c < 0) c = 0;
if (c >= width) c = width - 1;
gray += kernelX[kernelX.length - k - 1] * fastBitmap.getGray(i, c);
}
}
copy[i][j] = gray;
}
}
//Vertical orientation
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
gray = 0;
for (int k = 0; k < kernelX.length; k++) {
Xline = i - lines + k;
if ((Xline >=0) && (Xline < height)) {
gray += kernelY[k] * copy[Xline][j];
}
else if (replicate){
int r = i + k - lines;
if (r < 0) r = 0;
if (r >= height) r = height - 1;
gray += kernelY[k] * copy[r][j];
}
}
gray = gray < 0 ? 0 : gray;
gray = gray > 255 ? 255 : gray;
fastBitmap.setGray(i, j, (int)gray);
}
}
}
else{
double[][][] copy = new double[height][width][3];
double r,g,b;
//Horizontal orientation
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
r = g = b = 0;
for (int k = 0; k < kernelX.length; k++) {
Yline = j - lines + k;
if ((Yline >=0) && (Yline < width)) {
r += kernelX[k] * fastBitmap.getRed(i, Yline);
g += kernelX[k] * fastBitmap.getGreen(i, Yline);
b += kernelX[k] * fastBitmap.getBlue(i, Yline);
}
else if (replicate){
int c = j + k - lines;
if (c < 0) c = 0;
if (c >= width) c = width - 1;
r += kernelX[kernelX.length - k - 1] * fastBitmap.getRed(i, c);
g += kernelX[kernelX.length - k - 1] * fastBitmap.getGreen(i, c);
b += kernelX[kernelX.length - k - 1] * fastBitmap.getBlue(i, c);
}
}
copy[i][j][0] = r;
copy[i][j][1] = g;
copy[i][j][2] = b;
}
}
//Vertical orientation
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
r = g = b = 0;
for (int k = 0; k < kernelY.length; k++) {
Xline = i - lines + k;
if ((Xline >=0) && (Xline < height)) {
r += kernelY[k] * copy[Xline][j][0];
g += kernelY[k] * copy[Xline][j][1];
b += kernelY[k] * copy[Xline][j][2];
}
else if (replicate){
int rr = i + k - lines;
if (rr < 0) rr = 0;
if (rr >= height) rr = height - 1;
r += kernelY[k] * copy[rr][j][0];
g += kernelY[k] * copy[rr][j][1];
b += kernelY[k] * copy[rr][j][2];
}
}
r = r < 0 ? 0 : r;
r = r > 255 ? 255 : r;
g = g < 0 ? 0 : g;
g = g > 255 ? 255 : g;
b = b < 0 ? 0 : b;
b = b > 255 ? 255 : b;
fastBitmap.setRGB(i, j, (int)r, (int)g, (int)b);
}
}
}
}
private double SumKernel(double[] h, double[] v){
double sum = 0;
for (int i = 0; i < h.length; i++) {
for (int j = 0; j < v.length; j++) {
sum += h[i] * v[j];
}
}
return sum;
}
}
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