/*
* 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.alg.denoise.impl;
import boofcv.alg.denoise.ShrinkThresholdRule;
import boofcv.alg.denoise.wavelet.ShrinkThresholdHard_I32;
import boofcv.core.image.FactoryGImageGray;
import boofcv.core.image.GImageGray;
import boofcv.struct.image.GrayS32;
import boofcv.struct.image.ImageGray;
import org.junit.Test;
import static org.junit.Assert.assertEquals;
/**
* @author Peter Abeles
*/
public class TestShrinkThresholdHard_I32 {
int width = 10;
int height = 20;
@Test
public void basicTest() {
performBasicSoftTest(new GrayS32(width,height),new ShrinkThresholdHard_I32());
}
public static <T extends ImageGray> void performBasicSoftTest(T image , ShrinkThresholdRule<T> rule ) {
final int height = image.height;
final int width = image.width;
GImageGray a = FactoryGImageGray.wrap(image);
for( int y = 0; y < height; y++ ) {
for( int x = 0; x < width; x++ ) {
a.set(x,y,x);
}
}
rule.process(image,4);
for( int y = 0; y < height; y++ ) {
for( int x = 0; x < width; x++ ) {
if( x < 4 ) {
assertEquals(0,a.get(x,y).floatValue(),1e-4);
} else {
assertEquals(x,a.get(x,y).floatValue(),1e-4);
}
}
}
}
}