@Test
public void testSingleDilateFull() {
final Shape shape = new DiamondShape(1);
@SuppressWarnings("unchecked")
final Img<ByteType> out1 =
(Img<ByteType>) ops.run(DefaultDilate.class, Img.class, in, shape, true);
final Img<ByteType> out2 = Dilation.dilateFull(in, shape, 1);
final Cursor<ByteType> c1 = out1.cursor();
final Cursor<ByteType> c2 = out2.cursor();
while (c1.hasNext()) assertEquals(c1.next().get(), c2.next().get());
}
@Test
public void testInplace() {
ops.run(DefaultLoopInplace.class, in, inplaceOp, numIterations);
// test
final Cursor<ByteType> c = in.cursor();
while (c.hasNext()) {
org.junit.Assert.assertEquals(numIterations, c.next().get());
}
}
@Test
public void testListDilateFull() {
final List<Shape> shapes = new ArrayList<Shape>();
shapes.add(new DiamondShape(1));
shapes.add(new DiamondShape(1));
shapes.add(new RectangleShape(1, false));
shapes.add(new HorizontalLineShape(2, 1, false));
@SuppressWarnings("unchecked")
final IterableInterval<ByteType> out1 =
(IterableInterval<ByteType>)
ops.run(ListDilate.class, IterableInterval.class, in, shapes, true);
final Img<ByteType> out2 = Dilation.dilateFull(in, shapes, 1);
final Cursor<ByteType> c1 = out1.cursor();
final Cursor<ByteType> c2 = out2.cursor();
while (c1.hasNext()) assertEquals(c1.next().get(), c2.next().get());
}
@Test
public void testFunctionalEven() {
ops.run(
DefaultLoopComputer.class,
out,
in,
computerOp,
new ImgImgSameTypeFactory<ByteType>(),
numIterations);
// test
final Cursor<ByteType> c = out.cursor();
while (c.hasNext()) {
org.junit.Assert.assertEquals(numIterations, c.next().get());
}
}
/**
* Create a new imgage with using the current settings.
*
* @return the new image
*/
@SuppressWarnings("unchecked")
public final <T extends NativeType<T> & RealType<T>> ImgPlus<T> nextImage() {
// Set up new utils
m_dimList = new ArrayList<Long>();
m_axisList = new ArrayList<AxisType>();
ImgFactoryTypes facType;
// select a factory
if (m_factory == null) {
m_factory = ImgFactoryTypes.values()[randomBoundedInt(ImgFactoryTypes.values().length - 2)];
}
if (m_randomFactory) {
facType = ImgFactoryTypes.values()[randomBoundedInt(ImgFactoryTypes.values().length - 2)];
} else {
facType = m_factory;
}
final ImgFactory<T> imgFac = ImgFactoryTypes.getImgFactory(facType);
// process all dimensions
processDimension(m_minSizeX, m_sizeX, "X");
processDimension(m_minSizeY, m_sizeY, "Y");
processDimension(m_minSizeZ, m_sizeZ, "Z");
processDimension(m_minSizeChannel, m_sizeChannel, "Channel");
processDimension(m_minSizeT, m_sizeT, "Time");
final long[] dims = new long[m_dimList.size()];
for (int d = 0; d < m_dimList.size(); d++) {
dims[d] = m_dimList.get(d);
}
// Type of img is selected
NativeTypes type;
if (m_type == null) {
m_type = NativeTypes.values()[randomBoundedInt(NativeTypes.values().length - 1)];
}
if (m_randomType) {
type = NativeTypes.values()[randomBoundedInt(NativeTypes.values().length - 1)];
} else {
type = m_type;
}
// create the actual image
final T val = (T) NativeTypes.getTypeInstance(type);
final Img<T> img = imgFac.create(dims, val);
// fill the image
final Cursor<T> cursor = img.cursor();
while (cursor.hasNext()) {
cursor.fwd();
double result;
if (m_randomFill) {
double sign = 1;
if (val.getMinValue() < 0) {
if (Math.random() > 0.5) { // ~50% negative
sign = -1;
}
}
if (type.equals(NativeTypes.DOUBLETYPE) || type.equals(NativeTypes.FLOATTYPE)) {
// random value between -1 and 1
result = Math.random() * sign;
} else {
// random value in type range
result = Math.random() * val.getMaxValue() * sign;
}
} else {
result = m_value;
}
cursor.get().setReal(result);
}
final ImgPlus<T> imgPlus = new ImgPlus<T>(ImgView.wrap(img, imgFac));
int d = 0;
for (final AxisType a : m_axisList) {
imgPlus.setAxis(new DefaultLinearAxis(a), d++);
}
return imgPlus;
}
