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| 1 | +/*- |
| 2 | + * #%L |
| 3 | + * ImageJ software for multidimensional image processing and analysis. |
| 4 | + * %% |
| 5 | + * Copyright (C) 2014 - 2018 ImageJ developers. |
| 6 | + * %% |
| 7 | + * Redistribution and use in source and binary forms, with or without |
| 8 | +modification, are permitted provided that the following conditions are met: |
| 9 | +
|
| 10 | +1. Redistributions of source code must retain the above copyright notice, |
| 11 | + this list of conditions and the following disclaimer. |
| 12 | +2. Redistributions in binary form must reproduce the above copyright notice, |
| 13 | + this list of conditions and the following disclaimer in the documentation |
| 14 | + and/or other materials provided with the distribution. |
| 15 | +
|
| 16 | +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" |
| 17 | +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE |
| 18 | +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE |
| 19 | +ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE |
| 20 | +LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR |
| 21 | +CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF |
| 22 | +SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS |
| 23 | +INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN |
| 24 | +CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) |
| 25 | +ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE |
| 26 | +POSSIBILITY OF SUCH DAMAGE. |
| 27 | + * #L% |
| 28 | + */ |
| 29 | + |
| 30 | +package net.imagej.ops.transform.realTransform; |
| 31 | + |
| 32 | +import static org.junit.Assert.assertEquals; |
| 33 | + |
| 34 | +import net.imagej.ops.AbstractOpTest; |
| 35 | +import net.imglib2.Cursor; |
| 36 | +import net.imglib2.RandomAccess; |
| 37 | +import net.imglib2.RandomAccessibleInterval; |
| 38 | +import net.imglib2.img.Img; |
| 39 | +import net.imglib2.realtransform.AffineTransform2D; |
| 40 | +import net.imglib2.type.numeric.integer.UnsignedByteType; |
| 41 | +import net.imglib2.view.Views; |
| 42 | + |
| 43 | +import org.junit.Test; |
| 44 | + |
| 45 | +public class RealTransformTest extends AbstractOpTest { |
| 46 | + |
| 47 | + @Test |
| 48 | + public void regressionTest() throws Exception { |
| 49 | + |
| 50 | + final Img<UnsignedByteType> image = openUnsignedByteType(getClass(), |
| 51 | + "lowresbridge.tif"); |
| 52 | + final Img<UnsignedByteType> expectedOutput = openUnsignedByteType( |
| 53 | + getClass(), "rotatedscaledcenter.tif"); |
| 54 | + |
| 55 | + final AffineTransform2D transform = new AffineTransform2D(); |
| 56 | + |
| 57 | + transform.translate(-image.dimension(0) / 2, -image.dimension(0) / 2); |
| 58 | + transform.rotate(1); |
| 59 | + transform.scale(0.5); |
| 60 | + transform.translate(image.dimension(0) / 2, image.dimension(0) / 2); |
| 61 | + |
| 62 | + final RandomAccessibleInterval<UnsignedByteType> actualOutput = ops |
| 63 | + .transform().realTransform(image, transform); |
| 64 | + |
| 65 | + // compare the output image data to that stored in the file. |
| 66 | + final Cursor<UnsignedByteType> cursor = Views.iterable(actualOutput) |
| 67 | + .localizingCursor(); |
| 68 | + final RandomAccess<UnsignedByteType> actualRA = actualOutput.randomAccess(); |
| 69 | + final RandomAccess<UnsignedByteType> expectedRA = expectedOutput |
| 70 | + .randomAccess(); |
| 71 | + |
| 72 | + while (cursor.hasNext()) { |
| 73 | + cursor.fwd(); |
| 74 | + actualRA.setPosition(cursor); |
| 75 | + expectedRA.setPosition(cursor); |
| 76 | + assertEquals(expectedRA.get().get(), actualRA.get().get(), 0); |
| 77 | + } |
| 78 | + |
| 79 | + } |
| 80 | + |
| 81 | +} |
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