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/*
 * 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.abst.feature.detect.interest;

import boofcv.abst.feature.detect.extract.ConfigExtract;
import boofcv.alg.feature.detect.interest.SiftDetector;
import boofcv.struct.Configuration;

/**
 * Configuration for {@link SiftDetector}
 *
 * @author Peter Abeles
 */
public class ConfigSiftDetector implements Configuration {

	/**
	 * Configures non-maximum feature detector across the image
	 */
	public ConfigExtract extract = new ConfigExtract(2,0,1,true,true,true);

	/**
	 * The maximum number of features it can detect in a single space
	 */
	public int maxFeaturesPerScale = 0;

	/**
	 * Threshold used to remove edge responses.  Larger values means its less strict.  Try 10
	 */
	public double edgeR = 10;

	{
		extract.ignoreBorder = 1;
	}

	/**
	 * Creates a configuration similar to how it was originally described in the paper
	 */
	public static ConfigSiftDetector createPaper() {
		ConfigSiftDetector config = new ConfigSiftDetector();
		config.extract = new ConfigExtract(1,0,1,true,true,true);
		config.extract.ignoreBorder = 1;
		config.maxFeaturesPerScale = 0;
		config.edgeR = 10;
		return config;
	}

	public ConfigSiftDetector() {
	}

	public ConfigSiftDetector(int maxFeaturesPerScale) {
		this.maxFeaturesPerScale = maxFeaturesPerScale;
	}

	@Override
	public void checkValidity() {

	}
}




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