/*
* Copyright (c) 2011-2013, 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.weights;
import org.junit.Test;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
/**
* @author Peter Abeles
*/
public class TestWeightDistanceSqGaussian_F32 {
/**
* See if it has some of the features of a gaussian
*/
@Test
public void basic() {
WeightDistanceSqGaussian_F32 alg = new WeightDistanceSqGaussian_F32(2);
// should always decrease in value
float prev = alg.weight(0);
for( int i = 1; i < 10; i++ ) {
float dist = 0.2f*i;
float found = alg.weight(dist);
assertTrue( found < prev );
prev = found;
}
// likelihood of something 6 stdevs away is practically zero
// remember, the input is distance squared.
assertEquals(0,alg.weight(12*12),1e-4);
}
}