/*
* 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.struct.image.ImageGray;
import boofcv.struct.sparse.GradientValue;
import boofcv.struct.sparse.SparseScaleGradient;
/**
* Computes the gradient from an integral image. Does not check for border conditions.
* Much faster than generalized algorithms that can handle image borders, but is unsafe and
* bounds must be checked before use.
*
* @author Peter Abeles
*/
public abstract class SparseIntegralGradient_NoBorder <T extends ImageGray, G extends GradientValue>
extends SparseScaleGradient<T, G>
{
// radius of the kernel
protected int r;
// width of the kernel
protected int w;
@Override
public void setWidth(double width) {
r = ((int)(width+0.5))/2;
if( r <= 0 )
r = 1;
w = r*2+1;
}
}