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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* 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.factory.shape;
import boofcv.alg.shapes.polygon.BinaryPolygonDetector;
import boofcv.alg.shapes.polygon.RefineBinaryPolygon;
import boofcv.alg.shapes.polygon.RefinePolygonCornersToImage;
import boofcv.alg.shapes.polygon.RefinePolygonLineToImage;
import boofcv.alg.shapes.polyline.SplitMergeLineFitLoop;
import boofcv.struct.image.ImageGray;
/**
* Factory for detecting higher level shapes
*
*
* @author Peter Abeles
*/
public class FactoryShapeDetector {
/**
* Creates a polygon detector. The polygon is assumed to be a black shape with a much lighter background.
* The polygon can be found to sub-pixel accuracy, if configured to do so.
*
* @param config Configuration for polygon detector
* @param imageType Input image type
* @return Detector
*/
public static
BinaryPolygonDetector polygon( ConfigPolygonDetector config, Class imageType)
{
config.checkValidity();
SplitMergeLineFitLoop contourToPolygon = new SplitMergeLineFitLoop(
config.contour2Poly_splitFraction,
config.contour2Poly_minimumSideFraction,
config.contour2Poly_iterations);
RefineBinaryPolygon refinePolygon = null;
if( config.refine != null ) {
if( config.refine instanceof ConfigRefinePolygonLineToImage ) {
refinePolygon = refinePolygon((ConfigRefinePolygonLineToImage)config.refine,imageType);
} else if( config.refine instanceof ConfigRefinePolygonCornersToImage ) {
refinePolygon = refinePolygon((ConfigRefinePolygonCornersToImage)config.refine,imageType);
} else {
throw new IllegalArgumentException("Unknown refine config type");
}
}
return new BinaryPolygonDetector(config.minimumSides,config.maximumSides,contourToPolygon,
refinePolygon,config.minContourImageWidthFraction,
config.clockwise,config.convex, config.canTouchBorder, config.splitPenalty,
config.minimumEdgeIntensity,imageType);
}
public static
RefineBinaryPolygon refinePolygon( ConfigRefinePolygonLineToImage config , Class imageType ) {
return new RefinePolygonLineToImage(
config.cornerOffset, config.lineSamples,
config.sampleRadius, config.maxIterations,
config.convergeTolPixels, config.maxCornerChangePixel,
imageType);
}
public static
RefineBinaryPolygon refinePolygon( ConfigRefinePolygonCornersToImage config , Class imageType ) {
return new RefinePolygonCornersToImage(
config.endPointDistance,
config.cornerOffset, config.lineSamples,
config.sampleRadius, config.maxIterations,
config.convergeTolPixels, config.maxCornerChangePixel,
imageType);
}
}