boofcv.alg.feature.detect.line.HoughTransformBinary_MT Maven / Gradle / Ivy
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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2019, 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.feature.detect.line;
import boofcv.abst.feature.detect.extract.NonMaxSuppression;
import boofcv.concurrency.BoofConcurrency;
import boofcv.struct.image.GrayU8;
/**
* Concurrent version of {@link HoughTransformBinary}
*
* @author Peter Abeles
*/
public class HoughTransformBinary_MT extends HoughTransformBinary {
/**
* Specifies parameters of transform. The minimum number of points specified in the extractor
* is an important tuning parameter.
*
* @param extractor Extracts local maxima from transform space.
* @param parameters
*/
public HoughTransformBinary_MT(NonMaxSuppression extractor, HoughTransformParameters parameters) {
super(extractor, parameters);
}
@Override
void computeParameters(GrayU8 binary) {
BoofConcurrency.loopFor(0,binary.height,y->{
int start = binary.startIndex + y*binary.stride;
int stop = start + binary.width;
for( int index = start; index < stop; index++ ) {
if( binary.data[index] != 0 ) {
parameters.parameterize(index-start,y,transform);
}
}
});
}
}
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