/* * 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); } }