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3D rendering engine. Plus modeling. Expected glsl textures 3d and 2d rendering
/*
* Copyright (c) 2022-2023. Manuel Daniel Dahmen
*
*
* Copyright 2012-2023 Manuel Daniel Dahmen
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package one.empty3.feature;
import one.empty3.feature.app.replace.javax.imageio.ImageIO;
import one.empty3.io.ProcessFile;
import java.io.File;
import java.io.IOException;
import java.util.Objects;
/*
sobel. 3×3 ou plus. 1*2+1
|p1 -p2| (/ n/n)?
*/
public class SobelDerivative extends ProcessFile {
private final boolean isX;
private int lines = 3;
private int columns = 3;
double[] sobelX = new double[]{-1, -2, -1, 0, 0, 0
, 1, 2, 1};
double[] sobelY = new double[]{-1, 0, -1,
-2, 0, 2
, 1, 0, 1};
public SobelDerivative() {
this.isX = true;
}
private void fill() {
}
public double x(int i, int j) {
return sobelX[i * lines + j];
}
public double y(int i, int j) {
return sobelY[i * lines + j];
}
public void theta(int i, int j) {
}
public double filter(PixM p, int x, int y) {
int dy = (int) (lines / 2);
int dX = (int) (columns / 2);
double sumX = 0, sumY = 0;
for (int c = 0; c < 3; c++) {
for (int l = 0; l < 3; l++) {
sumX += sobelX[l * columns + c] * p.get(x + c - 1, y + l - 1);
sumY += sobelY[l * columns + c] * p.get(x + c - 1, y + l - 1);
}
}
return Math.sqrt(sumX * sumX + sumY * sumY);
}
@Override
public boolean process(File in, File out) {
try {
PixM p = PixM.getPixM(Objects.requireNonNull(ImageIO.read(in)), maxRes);
PixM pOut = p.copy();
for (int j = 0; j < p.getLines(); j++) {
for (int i = 0; i < p.getColumns(); i++) {
for (int c = 0; c < 3; c++) {
p.setCompNo(c);
pOut.setCompNo(c);
double filter = filter(p, i, j);
pOut.set(i, j, filter);
}
}
}
ImageIO.write(pOut.normalize(0, 1).getImage(), "jpg", out);
return true;
} catch (Exception ex) {}
return false;
}
}