/* * 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.segmentation.fh04.impl; import boofcv.alg.segmentation.fh04.FhEdgeWeights; import boofcv.struct.image.GrayF32; import boofcv.struct.image.ImageType; import org.ddogleg.struct.FastQueue; import static boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04.Edge; /** * <p>Computes edge weight as the absolute value of the different in pixel value for single band images. * A 4-connect neighborhood is considered.</p> * * <p> * WARNING: Do not modify. Automatically generated by {@link GenerateFhEdgeWeights_SB}. * </p> * * @author Peter Abeles */ public class FhEdgeWeights4_F32 implements FhEdgeWeights<GrayF32> { @Override public void process(GrayF32 input, FastQueue<Edge> edges) { int w = input.width-1; int h = input.height-1; // First consider the inner pixels for( int y = 0; y < h; y++ ) { int indexSrc = input.startIndex + y*input.stride + 0; int indexDst = + y*input.width + 0; for( int x = 0; x < w; x++ , indexSrc++ , indexDst++ ) { float color0 = input.data[indexSrc]; // (x,y) float color1 = input.data[indexSrc+1]; // (x+1,y) float color2 = input.data[indexSrc+input.stride]; // (x,y+1) Edge e1 = edges.grow(); Edge e2 = edges.grow(); e1.sortValue = Math.abs(color1-color0); e1.indexA = indexDst; e1.indexB = indexDst+1; e2.sortValue = Math.abs(color2-color0); e2.indexA = indexDst; e2.indexB = indexDst+input.width; } } // Handle border pixels for( int y = 0; y < h; y++ ) { checkAround(w,y,input,edges); } for( int x = 0; x < w; x++ ) { checkAround(x,h,input,edges); } } private void checkAround( int x , int y , GrayF32 input , FastQueue<Edge> edges ) { int indexSrc = input.startIndex + y*input.stride + x; int indexA = y*input.width + x; float color0 = input.data[indexSrc]; check(x+1,y ,color0,indexA,input,edges); check(x ,y+1,color0,indexA,input,edges); } private void check( int x , int y , float color0 , int indexA, GrayF32 input , FastQueue<Edge> edges ) { if( !input.isInBounds(x,y) ) return; int indexSrc = input.startIndex + y*input.stride + x; int indexB = + y*input.width + x; float colorN = input.data[indexSrc]; Edge e1 = edges.grow(); e1.sortValue = (float)Math.abs(color0-colorN); e1.indexA = indexA; e1.indexB = indexB; } @Override public ImageType<GrayF32> getInputType() { return ImageType.single(GrayF32.class); } }