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 * ImageJ software for multidimensional image processing and analysis.
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 * Wisconsin-Madison and University of Konstanz.
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package net.imagej.ops.convolve.kernel;

import net.imagej.ops.AbstractOpTest;
import net.imglib2.img.Img;
import net.imglib2.img.array.ArrayImgFactory;
import net.imglib2.type.numeric.real.FloatType;

import org.junit.Test;

import static org.junit.Assert.assertEquals;

/**
 * Kernel generation test class.
 * 
 * @author bnorthan
 */
public class KernelTest extends AbstractOpTest {

	@Test
	public void test() {

		double sigma = 5.0;

		int numDimensions = 2;

		double[] sigmas = new double[numDimensions];

		for (int i = 0; i < numDimensions; i++) {
			sigmas[i] = sigma;
		}

		Img<FloatType> gaussianKernel =
			(Img<FloatType>) ops.run("gausskernel", new FloatType(), new ArrayImgFactory(), numDimensions, sigma, null
				);

		Img<FloatType> gaussianKernel2 =
			(Img<FloatType>) ops.run("gausskernel", new FloatType(),
				new ArrayImgFactory(), sigmas, null);

		Img<FloatType> logKernel =
			(Img<FloatType>) ops.run("logkernel",
				new FloatType(), new ArrayImgFactory(), numDimensions, sigma, null);

		Img<FloatType> logKernel2 =
			(Img<FloatType>) ops.run("logkernel", new FloatType(),
				new ArrayImgFactory(), sigmas, null);

		assertEquals(gaussianKernel.dimension(1), 31);
		assertEquals(gaussianKernel2.dimension(1), 31);

		assertEquals(logKernel.dimension(1), 27);
		assertEquals(logKernel2.dimension(1), 27);

	}

	@Test
	public void testDefaults() {

		double sigma = 5.0;

		int numDimensions = 2;

		double[] sigmas = new double[numDimensions];

		for (int i = 0; i < numDimensions; i++) {
			sigmas[i] = sigma;
		}

		/*Img<FloatType> gaussianKernel =
			(Img<FloatType>) ops.run("gausskernel", sigmas, null, new FloatType(),
				new ArrayImgFactory());

		// no factory
		Img<FloatType> gaussianKernel2 =
			(Img<FloatType>) ops.run("gausskernel", sigmas, null, new FloatType());
		*/
		Img<FloatType> gaussianKernel =
			(Img<FloatType>) ops.run("gausskernel", new FloatType(),
				new ArrayImgFactory(), sigmas, null);

		// no factory
		Img<FloatType> gaussianKernel2 =
			(Img<FloatType>) ops.run("gausskernel", new FloatType(), null, sigmas,
				null);
		// no factory, no type
		Img<FloatType> gaussianKernel3 =
			(Img<FloatType>) ops.run("gausskernel", sigmas);

		assertEquals(gaussianKernel.dimension(1), 31);
		assertEquals(gaussianKernel2.dimension(1), 31);
		assertEquals(gaussianKernel2.dimension(1), 31);

		Img<FloatType> logKernel =
			(Img<FloatType>) ops.run("logkernel", new FloatType(),
				new ArrayImgFactory(), sigmas, null);

		// no factory
		Img<FloatType> logKernel2 =
			(Img<FloatType>) ops
				.run("logkernel", new FloatType(), null, sigmas, null);

		// no factory, no type
		Img<FloatType> logKernel3 = (Img<FloatType>) ops.run("logkernel", sigmas);

		assertEquals(logKernel.dimension(1), 27);
		assertEquals(logKernel2.dimension(1), 27);
		assertEquals(logKernel2.dimension(1), 27);

	}

}

Add KernelTest