/*
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 * Image processing operations for SciJava Ops.
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package org.scijava.ops.image.features.tamura2d;

import static org.junit.jupiter.api.Assertions.assertEquals;

import org.scijava.ops.image.AbstractFeatureTest;
import net.imglib2.img.Img;
import net.imglib2.img.array.ArrayImgs;
import net.imglib2.type.numeric.integer.ByteType;
import net.imglib2.type.numeric.real.DoubleType;

import org.junit.jupiter.api.Test;

/**
 * Test for {@Link Tamura2d}-Features
 *
 * @author Andreas Graumann (University of Konstanz)
 */
public class Tamura2dFeatureTest extends AbstractFeatureTest {

	@Test
	public void testContrastFeature() {
		assertEquals(63.7185, ops.op("features.tamura.contrast").input(random)
			.outType(DoubleType.class).apply().get(), 1e-3, "tamura.contrast");
	}

	@Test
	public void testDirectionalityFeature() {
		assertEquals(0.007819, ops.op("features.tamura.directionality").input(
			random, 16).outType(DoubleType.class).apply().get(), 1e-3,
			"tamura.directionality");
	}

	@Test
	public void testCoarsenessFeature() {
		assertEquals(43.614, ops.op("features.tamura.coarseness").input(random)
			.outType(DoubleType.class).apply().get(), 1e-3, "tamura.coarseness");

		// NB: according to the implementation, this 2x2 image should have exactly 0
		// coarseness.
		byte[] arr = new byte[] { 0, -1, 0, 0 };
		Img<ByteType> in = ArrayImgs.bytes(arr, 2, 2);
		assertEquals(0.0, ops.op("features.tamura.coarseness").input(in).outType(
			DoubleType.class).apply().get(), 0.0, "tamura.coarseness");
	}

}
