// 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.Filters.*;
import Catalano.Imaging.FastBitmap;
import Catalano.Imaging.IApplyInPlace;
import Catalano.Imaging.Tools.CompassConvolutionKernel;
/**
* Kirsh Compass Edge Detector.
*
* The operator takes a single kernel mask and rotates it in 45 degree
* increments through all 8 compass directions: N, NW, W, SW, S, SE, E, and NE.
* The edge magnitude of the Kirsch operator is calculated as the maximum magnitude across all directions.
*
* The edge magnitude is found by convolving each mask with the image and selecting the largest value at each pxel location.
* The edge direction at each point is defined by the direction of the edge mask that provides the maximum magnitude.
*
* @author Diego Catalano
*/
public class KirschCompassEdgeDetector implements IApplyInPlace{
/**
* Initialize a new instance of the KirschCompassEdgeDetector class.
*/
public KirschCompassEdgeDetector() {}
@Override
public void applyInPlace(FastBitmap fastBitmap) {
int[][] kirsch;
Convolution c = new Convolution();
FastBitmap copy = new FastBitmap(fastBitmap);
if (fastBitmap.isGrayscale()){
int height = fastBitmap.getHeight();
int width = fastBitmap.getWidth();
int[][] image = new int[height][width];
// North
kirsch = CompassConvolutionKernel.Kirsch_North;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j] = copy.getGray(i, j);
}
}
copy = new FastBitmap(fastBitmap);
// Northwest
kirsch = CompassConvolutionKernel.Kirsch_Northwest;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j] = Math.max(image[i][j], copy.getGray(i, j));
}
}
copy = new FastBitmap(fastBitmap);
// West
kirsch = CompassConvolutionKernel.Kirsch_West;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j] = Math.max(image[i][j], copy.getGray(i, j));
}
}
copy = new FastBitmap(fastBitmap);
// Southwest
kirsch = CompassConvolutionKernel.Kirsch_Southwest;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j] = Math.max(image[i][j], copy.getGray(i, j));
}
}
copy = new FastBitmap(fastBitmap);
// South
kirsch = CompassConvolutionKernel.Kirsch_South;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j] = Math.max(image[i][j], copy.getGray(i, j));
}
}
copy = new FastBitmap(fastBitmap);
// Southeast
kirsch = CompassConvolutionKernel.Kirsch_Southeast;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j] = Math.max(image[i][j], copy.getGray(i, j));
}
}
copy = new FastBitmap(fastBitmap);
// West
kirsch = CompassConvolutionKernel.Kirsch_East;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j] = Math.max(image[i][j], copy.getGray(i, j));
}
}
copy = new FastBitmap(fastBitmap);
// Northeast
kirsch = CompassConvolutionKernel.Kirsch_Northeast;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j] = Math.max(image[i][j], copy.getGray(i, j));
}
}
fastBitmap.matrixToImage(image);
}
if (fastBitmap.isRGB()){
int height = fastBitmap.getHeight();
int width = fastBitmap.getWidth();
int[][][] image = new int[height][width][3];
// North
kirsch = CompassConvolutionKernel.Kirsch_North;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j][0] = copy.getRed(i, j);
image[i][j][1] = copy.getGreen(i, j);
image[i][j][2] = copy.getBlue(i, j);
}
}
copy = new FastBitmap(fastBitmap);
// Northwest
kirsch = CompassConvolutionKernel.Kirsch_Northwest;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j][0] = Math.max(image[i][j][0], copy.getRed(i, j));
image[i][j][1] = Math.max(image[i][j][1], copy.getGreen(i, j));
image[i][j][2] = Math.max(image[i][j][2], copy.getBlue(i, j));
}
}
copy = new FastBitmap(fastBitmap);
// West
kirsch = CompassConvolutionKernel.Kirsch_West;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j][0] = Math.max(image[i][j][0], copy.getRed(i, j));
image[i][j][1] = Math.max(image[i][j][1], copy.getGreen(i, j));
image[i][j][2] = Math.max(image[i][j][2], copy.getBlue(i, j));
}
}
copy = new FastBitmap(fastBitmap);
// Southwest
kirsch = CompassConvolutionKernel.Kirsch_Southwest;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j][0] = Math.max(image[i][j][0], copy.getRed(i, j));
image[i][j][1] = Math.max(image[i][j][1], copy.getGreen(i, j));
image[i][j][2] = Math.max(image[i][j][2], copy.getBlue(i, j));
}
}
copy = new FastBitmap(fastBitmap);
// South
kirsch = CompassConvolutionKernel.Kirsch_South;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j][0] = Math.max(image[i][j][0], copy.getRed(i, j));
image[i][j][1] = Math.max(image[i][j][1], copy.getGreen(i, j));
image[i][j][2] = Math.max(image[i][j][2], copy.getBlue(i, j));
}
}
copy = new FastBitmap(fastBitmap);
// Southeast
kirsch = CompassConvolutionKernel.Kirsch_Southeast;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j][0] = Math.max(image[i][j][0], copy.getRed(i, j));
image[i][j][1] = Math.max(image[i][j][1], copy.getGreen(i, j));
image[i][j][2] = Math.max(image[i][j][2], copy.getBlue(i, j));
}
}
copy = new FastBitmap(fastBitmap);
// West
kirsch = CompassConvolutionKernel.Kirsch_East;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j][0] = Math.max(image[i][j][0], copy.getRed(i, j));
image[i][j][1] = Math.max(image[i][j][1], copy.getGreen(i, j));
image[i][j][2] = Math.max(image[i][j][2], copy.getBlue(i, j));
}
}
copy = new FastBitmap(fastBitmap);
// Northeast
kirsch = CompassConvolutionKernel.Kirsch_Northeast;
c.setKernel(kirsch);
c.applyInPlace(copy);
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
image[i][j][0] = Math.max(image[i][j][0], copy.getRed(i, j));
image[i][j][1] = Math.max(image[i][j][1], copy.getGreen(i, j));
image[i][j][2] = Math.max(image[i][j][2], copy.getBlue(i, j));
}
}
fastBitmap.matrixToImage(image);
}
}
}
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