boofcv.abst.feature.orientation.OrientationGradientToImage Maven / Gradle / Ivy
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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2017, 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.abst.feature.orientation;
import boofcv.abst.filter.derivative.ImageGradient;
import boofcv.core.image.GeneralizedImageOps;
import boofcv.struct.image.ImageGray;
/**
* Converts an implementation of {@link OrientationGradient} into {@link OrientationImage}.
*
* @author Peter Abeles
*/
public class OrientationGradientToImage, D extends ImageGray>
implements OrientationImage
{
ImageGradient gradient;
OrientationGradient alg;
// storage for image gradient
D derivX;
D derivY;
// Input image type
Class inputType;
public OrientationGradientToImage(OrientationGradient alg,
ImageGradient gradient,
Class inputType ,
Class gradientType ) {
this.alg = alg;
this.gradient = gradient;
this.inputType = inputType;
derivX = GeneralizedImageOps.createSingleBand(gradientType,1,1);
derivY = GeneralizedImageOps.createSingleBand(gradientType,1,1);
}
@Override
public void setImage(T image) {
derivX.reshape(image.width,image.height);
derivY.reshape(image.width,image.height);
gradient.process(image,derivX,derivY);
alg.setImage(derivX,derivY);
}
@Override
public Class getImageType() {
return inputType;
}
@Override
public void setObjectRadius(double radius) {
alg.setObjectRadius(radius);
}
@Override
public double compute(double c_x, double c_y) {
return alg.compute(c_x,c_y);
}
}
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