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 * Image processing operations for SciJava Ops.
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package org.scijava.ops.image.filter.mean;

import org.scijava.ops.image.AbstractOpTest;
import net.imglib2.FinalInterval;
import net.imglib2.RandomAccessibleInterval;
import net.imglib2.algorithm.neighborhood.RectangleShape;
import net.imglib2.img.Img;
import net.imglib2.outofbounds.OutOfBoundsBorderFactory;
import net.imglib2.outofbounds.OutOfBoundsFactory;
import net.imglib2.type.numeric.integer.ByteType;

import org.junit.jupiter.api.Test;
import org.scijava.types.Nil;

public class MeanFilterTest extends AbstractOpTest {

	@Test
	public void testMeanFilter() {
		Img<ByteType> img = ops.op("create.img").input(new FinalInterval(5, 5),
			new ByteType()).outType(new Nil<Img<ByteType>>()
		{}).apply();
		RectangleShape shape = new RectangleShape(1, false);
		OutOfBoundsFactory<ByteType, RandomAccessibleInterval<ByteType>> oobf =
			new OutOfBoundsBorderFactory<>();
		Img<ByteType> output = ops.op("create.img").input(img).outType(
			new Nil<Img<ByteType>>()
			{}).apply();
		ops.op("stats.mean").input(img, shape, oobf).output(output).compute();

		// Try with no OutOfBoundsFactory
		ops.op("filter.mean").input(img, shape).output(output).compute();
	}

	@Test
	public void testRawTypeAdaptation() {
		Img<ByteType> img = ops.op("create.img").input(new FinalInterval(5, 5),
			new ByteType()).outType(new Nil<Img<ByteType>>()
		{}).apply();
		RectangleShape shape = new RectangleShape(1, false);
		OutOfBoundsFactory<ByteType, RandomAccessibleInterval<ByteType>> oobf =
			new OutOfBoundsBorderFactory<>();
		var result = ops.op("filter.mean").input(img, shape, oobf).outType(
			Img.class).apply();
	}
}
