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/*

 * The JCS Conflation Suite (JCS) is a library of Java classes that

 * can be used to build automated or semi-automated conflation solutions.

 *

 * Copyright (C) 2003 Vivid Solutions

 * 

 * This program is free software; you can redistribute it and/or

 * modify it under the terms of the GNU General Public License

 * as published by the Free Software Foundation; either version 2

 * of the License, or (at your option) any later version.

 * 

 * This program is distributed in the hope that it will be useful,

 * but WITHOUT ANY WARRANTY; without even the implied warranty of

 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

 * GNU General Public License for more details.

 * 

 * You should have received a copy of the GNU General Public License

 * along with this program; if not, write to the Free Software

 * Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.

 * 

 * For more information, contact:

 *

 * Vivid Solutions

 * Suite #1A

 * 2328 Government Street

 * Victoria BC  V8T 5G5

 * Canada

 *

 * (250)385-6040

 * www.vividsolutions.com

 */

package com.vividsolutions.jcs.conflate.polygonmatch;

import com.vividsolutions.jump.feature.Feature;

import com.vividsolutions.jump.feature.FeatureCollection;

/**

 * Filters out shapes with a score below a given value.

 */

public class ThresholdFilter implements FeatureMatcher {

  /**

   * Creates a ThresholdFilter with the given minimum score.

   * @param minScore the score below which shapes will be filtered out

   */

  public ThresholdFilter(double minScore) {

    this.minScore = minScore;

  }

  private double minScore;

  /**

   * Filters out shapes with a score below the minimum score threshold.

   * @param target ignored

   * @param candidates a Matches object created by another FeatureMatcher

   * @return the candidates having a score greater than or equal to the

   * threshold score. The scores are preserved from the original Matches

   * object.

   */

  public Matches match(Feature target, FeatureCollection candidates) {

    Matches survivors = new Matches(candidates.getFeatureSchema());

    Matches allMatches = (Matches) candidates;

    for (int i = 0; i < allMatches.size(); i++) {

      if (allMatches.getScore(i) >= minScore) {

        survivors.add(allMatches.getFeature(i), allMatches.getScore(i));

      }

    }

    return survivors;

  }

}