/* * 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; } }