/*
* Copyright (c) 2011-2016, 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.ii;
import boofcv.alg.filter.derivative.GeneralSparseGradientTests;
import boofcv.struct.image.ImageGray;
import boofcv.struct.sparse.GradientValue;
/**
* @author Peter Abeles
*/
public abstract class GeneralSparseGradientIntegralTests
<T extends ImageGray, D extends ImageGray,G extends GradientValue>
extends GeneralSparseGradientTests<T,D,G>
{
// kernels for testing derivative output
IntegralKernel kernelX;
IntegralKernel kernelY;
protected GeneralSparseGradientIntegralTests(Class<T> inputType, Class<D> derivType,
int sampleBoxX0 , int sampleBoxY0 ,
int sampleBoxX1 , int sampleBoxY1 )
{
super(inputType, derivType, sampleBoxX0,sampleBoxY0,sampleBoxX1,sampleBoxY1);
}
public void setKernels( IntegralKernel kernelX , IntegralKernel kernelY )
{
this.kernelX = kernelX;
this.kernelY = kernelY;
}
@Override
protected void imageGradient(T input, D derivX, D derivY) {
GIntegralImageOps.convolve(input,kernelX,derivX);
GIntegralImageOps.convolve(input,kernelY,derivY);
}
}