one.empty3.feature.LocalExtrema Maven / Gradle / Ivy
/*
* 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 java.util.ArrayList;
public class LocalExtrema extends FilterMatPixM {
private boolean setMin = false;
private final int pointsCount;
private final int neighbourSize;
protected double sub[];
private double threshold = 0.7;
public int getCompNo() {
return compNo;
}
public void setCompNo(int compNo) {
this.compNo = compNo;
}
private int compNo;
public LocalExtrema() {
this.neighbourSize = 6;
pointsCount = 1;
}
public LocalExtrema(int width, int height, int neighbourSize, int pointsCount) {
this.neighbourSize = neighbourSize;
this.pointsCount = pointsCount;
//sub = new double[4*lines*columns];
}
// Detect regions, vertex(lines or curves), edges
public ArrayList searchForFeaturePlaces() {
ArrayList areas = new ArrayList<>();
return areas;
// Global search AreaDescriptor
// Edge
// Vertex
// Similar colors Region
}
@Override
public M3 filter(M3 original) {
M3 copy = new M3(original.columns, original.lines,
1, 1);
for (int i = 0; i < original.columns; i++) {
for (int j = 0; j < original.lines; j++) {
//copy.setCompNo(c);
//boolean isMaximum = true;
double maxLocal = original.getIntensity(i, j, 0, 0);
int countOut = 0;
int countIn = 0;
if (maxLocal >= threshold) {
for (int ii = -neighbourSize / 2; ii <= neighbourSize / 2; ii++) {
for (int ij = neighbourSize / 2; ij <= neighbourSize / 2; ij++) {
double v = original.getIntensity(i + ii, j + ij, 0, 0);
if (v < maxLocal) {
countIn++;
} else
countOut++;
}
}
if (isSetMin() && countIn >= pointsCount && countOut == 0) {
copy.setCompNo(0);
original.setCompNo(0);
copy.set(i, j, 0, 0, original.get(i, j, 0, 0));//1 au lieu value
copy.setCompNo(1);
original.setCompNo(1);
copy.set(i, j, 0, 0, original.get(i, j, 0, 0));//1 au lieu value
copy.setCompNo(2);
original.setCompNo(2);
copy.set(i, j, 0, 0, original.get(i, j, 0, 0));//1 au lieu value
} else if (countIn < pointsCount) {
copy.setCompNo(0);
original.setCompNo(0);
copy.set(i, j, 0, 0, original.get(i, j, 0, 0));//1 au lieu value
copy.setCompNo(1);
original.setCompNo(1);
copy.set(i, j, 0, 0, original.get(i, j, 0, 0));//1 au lieu value
copy.setCompNo(2);
original.setCompNo(2);
copy.set(i, j, 0, 0, original.get(i, j, 0, 0));//1 au lieu value
}
}
}
}
return copy;
}
private double lambda1dot2div1sum2(M3 original, int compNo, int i, int j) {
PixM pixM = new PixM(3, 3);
pixM.setRegionCopy(original, 0, 0, i - 1, j - 1, i + 1, j + 1, pixM, 0, 0);
return pixM.determinant() / pixM.diagonalSum();
}
@Override
public void element(M3 source, M3 copy, int i, int j, int ii, int ij) {
}
@Override
public M3 norm(M3 m3, M3 copy) {
return m3.copy();
}
public double getThreshold() {
return threshold;
}
public void setThreshold(double threshold) {
this.threshold = threshold;
}
public boolean isSetMin() {
return setMin;
}
public void setSetMin(boolean b) {
this.setMin = b;
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy