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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2015, Peter Abeles. All Rights Reserved.
*
* This file is part of BoofCV (http://boofcv.org).
*
* 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 boofcv.alg.transform.pyramid;
import boofcv.alg.distort.DistortImageOps;
import boofcv.alg.distort.PixelTransformAffine_F32;
import boofcv.alg.distort.impl.DistortSupport;
import boofcv.alg.interpolate.InterpolatePixelS;
import boofcv.struct.image.ImageSingleBand;
import boofcv.struct.pyramid.PyramidFloat;
/**
*
* Updates each layer in a {@link boofcv.struct.pyramid.PyramidFloat} by rescaling the layer with interpolation.
* Unlike {@link PyramidFloatGaussianScale}, no additional blurring is done between layers.
*
*
* @author Peter Abeles
*/
@SuppressWarnings({"unchecked"})
public class PyramidFloatScale< T extends ImageSingleBand>
extends PyramidFloat {
// interpolation algorithm
protected InterpolatePixelS interpolate;
public PyramidFloatScale(InterpolatePixelS interpolate, double scaleFactors[] , Class imageType) {
super(imageType,scaleFactors);
this.interpolate = interpolate;
}
@Override
public void process(T input) {
super.initialize(input.width,input.height);
if( isSaveOriginalReference() )
throw new IllegalArgumentException("The original reference cannot be saved");
for( int i = 0; i < scale.length; i++ ) {
T prev = i == 0 ? input : getLayer(i-1);
T layer = getLayer(i);
PixelTransformAffine_F32 model = DistortSupport.transformScale(layer,prev, null);
DistortImageOps.distortSingle(prev,layer, true, model,interpolate);
}
}
@Override
public double getSampleOffset(int layer) {
return 0;
}
/**
* No blur is applied to the image
*
* @param layer Layer in the pyramid
* @return scale
*/
@Override
public double getSigma(int layer) {
return 0;
}
}
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