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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.segmentation.slic;
import boofcv.struct.ConnectRule;
import boofcv.struct.image.GrayF32;
import boofcv.struct.image.ImageType;
import boofcv.struct.image.Planar;
/**
* Implementation of {@link boofcv.alg.segmentation.slic.SegmentSlic} for image of type
* {@link Planar} of type {@link GrayF32}.
*
* @author Peter Abeles
*/
public class SegmentSlic_PlF32 extends SegmentSlic> {
public SegmentSlic_PlF32(int numberOfRegions, float m, int totalIterations,
ConnectRule connectRule, int numBands) {
super(numberOfRegions, m , totalIterations, connectRule,ImageType.pl(numBands,GrayF32.class));
}
@Override
public void setColor(float[] color, int x, int y) {
final int numBands = input.getNumBands();
for( int i = 0; i < numBands; i++ ) {
color[i] = input.getBand(i).unsafe_get(x,y);
}
}
@Override
public void addColor(float[] color, int index, float weight) {
final int numBands = input.getNumBands();
for( int i = 0; i < numBands; i++ ) {
color[i] += input.getBand(i).data[index]*weight;
}
}
@Override
public float colorDistance(float[] color, int index) {
final int numBands = input.getNumBands();
float total = 0;
for( int i = 0; i < numBands; i++ ) {
float diff = input.getBand(i).data[index] - color[i];
total += diff*diff;
}
return total;
}
@Override
public float getIntensity(int x, int y) {
final int numBands = input.getNumBands();
final int index = input.getIndex(x,y);
float total = 0;
for( int i = 0; i < numBands; i++ ) {
total += input.getBand(i).data[index];
}
return total/numBands;
}
}
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