boofcv.alg.segmentation.fh04.impl.FhEdgeWeights4_F32 Maven / Gradle / Ivy

Go to download
Show more of this group Show more artifacts with this name
Show all versions of feature Show documentation
BoofCV is an open source Java library for real-time computer vision and robotics applications.
There is a newer version: 0.26
/*
 * Copyright (c) 2011-2014, 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.ImageFloat32;
import boofcv.struct.image.ImageType;
import org.ddogleg.struct.FastQueue;

import static boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04.Edge;

/**
 * Computes edge weight as the absolute value of the different in pixel value for single band images.
 * A 4-connect neighborhood is considered.
 *
 * 
 * WARNING: Do not modify.  Automatically generated by {@link GenerateFhEdgeWeights_SB}.
 * 
 *
 * @author Peter Abeles
 */
public class FhEdgeWeights4_F32 implements FhEdgeWeights {

	@Override
	public void process(ImageFloat32 input,
						FastQueue 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 ,
							  ImageFloat32 input ,
							  FastQueue 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,
						ImageFloat32 input ,
						FastQueue 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 getInputType() {
		return ImageType.single(ImageFloat32.class);
	}

}