/*
* 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.feature.detect.intensity;
import boofcv.alg.filter.derivative.GradientSobel;
import boofcv.alg.filter.derivative.HessianThree;
import boofcv.core.image.border.*;
import boofcv.struct.image.GrayF32;
import boofcv.struct.image.GrayS16;
/**
* Tests basic properties of a corner detector which use the image gradient
*
* @author Peter Abeles
*/
public abstract class GenericCornerIntensityGradientTests extends GenericCornerIntensityTests {
protected GrayS16 derivX_I16 = new GrayS16(width,height);
protected GrayS16 derivY_I16 = new GrayS16(width,height);
protected GrayS16 derivXX_I16 = new GrayS16(width,height);
protected GrayS16 derivYY_I16 = new GrayS16(width,height);
protected GrayS16 derivXY_I16 = new GrayS16(width,height);
protected GrayF32 derivX_F32 = new GrayF32(width,height);
protected GrayF32 derivY_F32 = new GrayF32(width,height);
protected GrayF32 derivXX_F32 = new GrayF32(width,height);
protected GrayF32 derivYY_F32 = new GrayF32(width,height);
protected GrayF32 derivXY_F32 = new GrayF32(width,height);
ImageBorder_F32 borderF32 = new ImageBorder1D_F32(BorderIndex1D_Extend.class);
ImageBorder_S32 borderI32 = new ImageBorder1D_S32(BorderIndex1D_Extend.class);
@Override
protected void computeDerivatives() {
GradientSobel.process(imageF,derivX_F32,derivY_F32, borderF32);
GradientSobel.process(imageI,derivX_I16,derivY_I16, borderI32);
HessianThree.process(imageF,derivXX_F32,derivYY_F32,derivXY_F32,borderF32);
HessianThree.process(imageI,derivXX_I16,derivYY_I16,derivXY_I16,borderI32);
}
}