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A collection of functions for image registration based on control points using rigid and affine transforms.
/*-
* #%L
* Image-Registration
* %%
* Copyright (C) 2019 Oliver Loeffler, Raumzeitfalle.net
* %%
* 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.
* #L%
*/
package net.raumzeitfalle.registration.distortions;
import java.util.Collection;
import java.util.Iterator;
import net.raumzeitfalle.registration.DegreesOfFreedom;
import net.raumzeitfalle.registration.DifferencesVector;
import net.raumzeitfalle.registration.Distribution;
import net.raumzeitfalle.registration.Orientable;
import net.raumzeitfalle.registration.Orientation;
import net.raumzeitfalle.registration.ReferencesMatrix;
import net.raumzeitfalle.registration.solver.Deltas;
import net.raumzeitfalle.registration.solver.References;
import net.raumzeitfalle.registration.solver.Solution;
import net.raumzeitfalle.registration.solver.SolverProvider;
import net.raumzeitfalle.registration.solver.spi.SolverAdapter;
class OneDimensionalAffineModel implements AffineModel {
OneDimensionalAffineModel() {
}
@Override
public AffineTransform solve(Collection equations,
DegreesOfFreedom degreesOfFreedom) {
/*
* Assumption:
* all data points distributed along one vertical line
* different Y locations, exactly one X location
* => this would render the normal affine model to fail
* with a singular matrix
*
* What can be calculated?
* 1. translation-x
* 2. translation-y
* 3. scale-y
* 4. ortho-y (aka. rotation in this case)
*
* What can't be calcutaled?
* 1. scale-x (this would require multiple design x-locations)
*
* Same applies in case of data distributed along one horizontal
* line.
*
*/
int cols = 4; // dimension.getDimensions() * 2;
int rows = equations.size();
ReferencesMatrix references = new ReferencesMatrix(rows, cols);
DifferencesVector deltas = new DifferencesVector(rows);
Orientation direction = degreesOfFreedom.getDirection();
prepare(equations, references, deltas, direction);
return solve(references, deltas, degreesOfFreedom);
}
private void prepare(Collection equations, ReferencesMatrix references, DifferencesVector deltas,
Orientation direction) {
int row = 0;
Iterator it = equations.iterator();
while (it.hasNext()) {
row = addEquation(references, deltas, row, it.next(), direction);
}
}
private int addEquation(ReferencesMatrix references, DifferencesVector deltas, int row, AffineModelEquation eq,
Orientation direction) {
references.set1D(row, eq, direction);
deltas.set(row, eq);
row++;
return row;
}
private AffineTransform solve(References references, Deltas deltas, DegreesOfFreedom dof) {
SolverAdapter solver = SolverProvider.getInstance().getSolver();
Solution solution = solver.apply(references, deltas);
return createTransform(solution, dof);
}
private AffineTransform createTransform(Solution solved, DegreesOfFreedom dof) {
double scale = solved.get(0);
double rot = solved.get(1);
double tx = solved.get(2);
double ty = solved.get(3);
if (Distribution.HORIZONTAL.equals(dof.getDistribution())) {
return SimpleAffineTransform.horizontal(tx, ty, scale, rot);
}
if (Distribution.VERTICAL.equals(dof.getDistribution())) {
return SimpleAffineTransform.vertical(tx, ty, scale, rot);
}
String message = String.format("Evaluation of data with %s spatial orientation not supported.", dof.getDistribution());
throw new UnsupportedOperationException(message);
}
}