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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2017, 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.background.stationary;
import boofcv.alg.InputSanityCheck;
import boofcv.alg.misc.ImageMiscOps;
import boofcv.core.image.FactoryGImageGray;
import boofcv.core.image.GConvertImage;
import boofcv.core.image.GImageGray;
import boofcv.struct.image.*;
/**
* Implementation of {@link BackgroundStationaryBasic} for {@link Planar}.
*
* @author Peter Abeles
*/
public class BackgroundStationaryBasic_SB>
extends BackgroundStationaryBasic
{
// storage for background image
protected GrayF32 background = new GrayF32(0,0);
// wrapper which provides abstraction across image types
protected GImageGray inputWrapper;
public BackgroundStationaryBasic_SB(float learnRate, float threshold,
Class imageType) {
super(learnRate, threshold, ImageType.single(imageType));
inputWrapper = FactoryGImageGray.create(imageType);
}
/**
* Returns the background image.
*
* @return background image.
*/
public GrayF32 getBackground() {
return background;
}
@Override
public void reset() {
background.reshape(0,0);
}
@Override
public void updateBackground( T frame) {
if( background.width != frame.width ) {
background.reshape(frame.width, frame.height);
GConvertImage.convert(frame, background);
return;
} else {
InputSanityCheck.checkSameShape(background,frame);
}
inputWrapper.wrap(frame);
float minusLearn = 1.0f - learnRate;
int indexBG = 0;
for (int y = 0; y < frame.height; y++) {
int indexInput = frame.startIndex + y*frame.stride;
int end = indexInput + frame.width;
while( indexInput < end ) {
float value = inputWrapper.getF(indexInput++);
float bg = background.data[indexBG];
background.data[indexBG++] = minusLearn*bg + learnRate*value;
}
}
}
@Override
public void segment(T frame, GrayU8 segmented) {
if( background.width != frame.width ) {
ImageMiscOps.fill(segmented,unknownValue);
return;
}
InputSanityCheck.checkSameShape(background,frame,segmented);
inputWrapper.wrap(frame);
float thresholdSq = threshold*threshold;
int indexBG = 0;
for (int y = 0; y < frame.height; y++) {
int indexInput = frame.startIndex + y*frame.stride;
int indexSegmented = segmented.startIndex + y*segmented.stride;
int end = indexInput + frame.width;
while( indexInput < end ) {
float bg = background.data[indexBG];
float pixelFrame = inputWrapper.getF(indexInput);
float diff = bg - pixelFrame;
if (diff * diff <= thresholdSq) {
segmented.data[indexSegmented] = 0;
} else {
segmented.data[indexSegmented] = 1;
}
indexInput++;
indexSegmented++;
indexBG++;
}
}
}
}
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