Examples with ArrayImgFactory net.imglib2.img.array.ArrayImgFactory used on opensource projects

Example 16 with ArrayImgFactory

use of net.imglib2.img.array.ArrayImgFactory in project imagej-ops by imagej.

the class UnshearViewTest method UnshearIntervalTest.

@Test
public void UnshearIntervalTest() {
    Img<DoubleType> img = new ArrayImgFactory<DoubleType>().create(new int[] { 2, 2 }, new DoubleType());
    Cursor<DoubleType> imgC = img.cursor();
    while (imgC.hasNext()) {
        imgC.next().set(1);
    }
    Cursor<DoubleType> il2 = Views.unshear(Views.shear(Views.extendZero(img), 0, 1), new FinalInterval(new long[] { 0, 0 }, new long[] { 3, 3 }), 0, 1).cursor();
    RandomAccess<DoubleType> opr = ops.transform().unshearView(Views.shear(Views.extendZero(img), 0, 1), new FinalInterval(new long[] { 0, 0 }, new long[] { 3, 3 }), 0, 1).randomAccess();
    while (il2.hasNext()) {
        il2.next();
        opr.setPosition(il2);
        assertEquals(il2.get().get(), opr.get().get(), 1e-10);
    }
}

Example 17 with ArrayImgFactory

use of net.imglib2.img.array.ArrayImgFactory in project imagej-ops by imagej.

the class CollapseViewTest method defaultCollapseTest.

@Test
public void defaultCollapseTest() {
    Img<DoubleType> img = new ArrayImgFactory<DoubleType>().create(new int[] { 10, 10 }, new DoubleType());
    CompositeIntervalView<DoubleType, ? extends GenericComposite<DoubleType>> il2 = Views.collapse(img);
    CompositeIntervalView<DoubleType, ? extends GenericComposite<DoubleType>> opr = ops.transform().collapseView(img);
    assertEquals(il2.numDimensions(), opr.numDimensions());
}

Example 18 with ArrayImgFactory

use of net.imglib2.img.array.ArrayImgFactory in project imagej-ops by imagej.

the class ExtendRandomViewTest method extendRandomTest.

@Test
public void extendRandomTest() {
    Img<DoubleType> img = new ArrayImgFactory<DoubleType>().create(new int[] { 10, 10 }, new DoubleType());
    OutOfBounds<DoubleType> il2 = Views.extendRandom(img, 0, 0).randomAccess();
    OutOfBounds<DoubleType> opr = ops.transform().extendRandomView(img, 0, 0).randomAccess();
    il2.setPosition(new int[] { -1, -1 });
    opr.setPosition(new int[] { -1, -1 });
    assertEquals(il2.get().get(), opr.get().get(), 1e-10);
    il2.setPosition(new int[] { 11, 11 });
    opr.setPosition(new int[] { 11, 11 });
    assertEquals(il2.get().get(), opr.get().get(), 1e-10);
}

Example 19 with ArrayImgFactory

use of net.imglib2.img.array.ArrayImgFactory in project imagej-ops by imagej.

the class ExtendValueViewTest method extendValueTest.

@Test
public void extendValueTest() {
    Img<DoubleType> img = new ArrayImgFactory<DoubleType>().create(new int[] { 10, 10 }, new DoubleType());
    OutOfBounds<DoubleType> il2 = Views.extendValue(img, new DoubleType(0)).randomAccess();
    OutOfBounds<DoubleType> opr = ops.transform().extendValueView(img, new DoubleType(0)).randomAccess();
    il2.setPosition(new int[] { -1, -1 });
    opr.setPosition(new int[] { -1, -1 });
    assertEquals(il2.get().get(), opr.get().get(), 1e-10);
    il2.setPosition(new int[] { 11, 11 });
    opr.setPosition(new int[] { 11, 11 });
    assertEquals(il2.get().get(), opr.get().get(), 1e-10);
}

Example 20 with ArrayImgFactory

use of net.imglib2.img.array.ArrayImgFactory in project imagej-ops by imagej.

the class ConvolveTest method testConvolveMethodSelection.

/**
 * Tests that the correct convolver is selected when using a small kernel.
 */
@Test
public void testConvolveMethodSelection() {
    final Img<ByteType> in = new ArrayImgFactory<ByteType>().create(new int[] { 20, 20 }, new ByteType());
    // use a small kernel
    int[] kernelSize = new int[] { 3, 3 };
    Img<FloatType> kernel = new ArrayImgFactory<FloatType>().create(kernelSize, new FloatType());
    Op op = ops.op(Ops.Filter.Convolve.class, in, kernel);
    // we should get ConvolveNaive
    assertSame(ConvolveNaiveF.class, op.getClass());
    // make sure it runs
    @SuppressWarnings("unchecked") final Img<FloatType> out1 = (Img<FloatType>) ops.run(ConvolveNaiveF.class, in, kernel);
    assertEquals(out1.dimension(0), 20);
    // use a bigger kernel
    kernelSize = new int[] { 30, 30 };
    kernel = new ArrayImgFactory<FloatType>().create(kernelSize, new FloatType());
    op = ops.op(Ops.Filter.Convolve.class, in, kernel);
    // this time we should get ConvolveFFT
    assertSame(ConvolveFFTF.class, op.getClass());
    // make sure it runs
    @SuppressWarnings("unchecked") final Img<FloatType> out2 = (Img<FloatType>) ops.run(ConvolveFFTF.class, in, kernel);
    assertEquals(out2.dimension(0), 20);
}