boofcv.abst.feature.detect.intensity.WrapperHessianBlobIntensity Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of feature Show documentation
Show all versions of feature Show documentation
BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2013, 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.detect.intensity;
import boofcv.alg.feature.detect.intensity.HessianBlobIntensity;
import boofcv.struct.QueueCorner;
import boofcv.struct.image.ImageFloat32;
import boofcv.struct.image.ImageSingleBand;
import java.lang.reflect.InvocationTargetException;
import java.lang.reflect.Method;
/**
* Wrapper around {@link boofcv.alg.feature.detect.intensity.HessianBlobIntensity} for {@link GeneralFeatureIntensity}.
*
* @author Peter Abeles
*/
public class WrapperHessianBlobIntensity
extends BaseGeneralFeatureIntensity
{
HessianBlobIntensity.Type type;
Method m;
boolean minimum;
public WrapperHessianBlobIntensity(HessianBlobIntensity.Type type, Class derivType) {
this.type = type;
try {
switch( type ) {
case DETERMINANT:
minimum = false;
m = HessianBlobIntensity.class.getMethod("determinant",ImageFloat32.class,derivType,derivType,derivType);
break;
case TRACE:
minimum = true;
m = HessianBlobIntensity.class.getMethod("trace",ImageFloat32.class,derivType,derivType);
break;
default:
throw new RuntimeException("Not supported yet");
}
} catch (NoSuchMethodException e) {
throw new RuntimeException(e);
}
}
@Override
public void process(I image, D derivX, D derivY, D derivXX, D derivYY, D derivXY) {
init(image.width,image.height);
try {
switch( type ) {
case DETERMINANT:
m.invoke(null,intensity,derivXX,derivYY,derivXY);
break;
case TRACE:
m.invoke(null,intensity,derivXX,derivYY);
break;
}
} catch (IllegalAccessException e) {
throw new RuntimeException(e);
} catch (InvocationTargetException e) {
throw new RuntimeException(e);
}
}
@Override
public QueueCorner getCandidatesMin() {
return null;
}
@Override
public QueueCorner getCandidatesMax() {
return null;
}
@Override
public boolean getRequiresGradient() {
return false;
}
@Override
public boolean getRequiresHessian() {
return( true );
}
@Override
public boolean hasCandidates() {
return false;
}
/**
* No ignore border unless the derivative has an ignore border
*/
@Override
public int getIgnoreBorder() {
return 0;
}
@Override
public boolean localMinimums() {
return minimum;
}
@Override
public boolean localMaximums() {
return true;
}
}