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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.alg.feature.detect.intensity;
import boofcv.alg.feature.detect.intensity.impl.ImplIntegralImageFeatureIntensity;
import boofcv.struct.image.GrayF32;
import boofcv.struct.image.GrayS32;
/**
* Routines for computing the intensity of the fast hessian features in an image.
*
* @author Peter Abeles
*/
public class IntegralImageFeatureIntensity {
/**
* Computes an approximation to the Hessian's determinant.
*
* @param integral Integral image transform of input image. Not modified.
* @param skip How many pixels should it skip over.
* @param size Hessian kernel's size.
* @param intensity Output intensity image.
*/
public static void hessian(GrayF32 integral, int skip , int size ,
GrayF32 intensity)
{
// todo check size with skip
// InputSanityCheck.checkSameShape(integral,intensity);
ImplIntegralImageFeatureIntensity.hessianBorder(integral,skip,size,intensity);
ImplIntegralImageFeatureIntensity.hessianInner(integral,skip,size,intensity);
}
/**
* Computes an approximation to the Hessian's determinant.
*
* @param integral Integral image transform of input image. Not modified.
* @param skip How many pixels should it skip over.
* @param size Hessian kernel's size.
* @param intensity Output intensity image.
*/
public static void hessian(GrayS32 integral, int skip , int size ,
GrayF32 intensity)
{
// todo check size with skip
// InputSanityCheck.checkSameShape(integral,intensity);
ImplIntegralImageFeatureIntensity.hessianBorder(integral,skip,size,intensity);
ImplIntegralImageFeatureIntensity.hessianInner(integral,skip,size,intensity);
}
}
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