本文整理汇总了Java中net.imglib2.type.numeric.real.DoubleType.add方法的典型用法代码示例。如果您正苦于以下问题:Java DoubleType.add方法的具体用法?Java DoubleType.add怎么用?Java DoubleType.add使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类net.imglib2.type.numeric.real.DoubleType
的用法示例。
在下文中一共展示了DoubleType.add方法的4个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: compute
import net.imglib2.type.numeric.real.DoubleType; //导入方法依赖的package包/类
@Override
public void compute(final I center,
final RectangleNeighborhood<Composite<DoubleType>> neighborhood,
final BitType output)
{
final DoubleType threshold = new DoubleType(0.0d);
final DoubleType mean = new DoubleType();
integralMean.compute(neighborhood, mean);
threshold.add(mean);
final DoubleType variance = new DoubleType();
integralVariance.compute(neighborhood, variance);
final DoubleType stdDev = new DoubleType(Math.sqrt(variance.get()));
stdDev.mul(k);
threshold.add(stdDev);
// Subtract the contrast
threshold.sub(new DoubleType(c));
// Set value
final Converter<I, DoubleType> conv = new RealDoubleConverter<>();
final DoubleType centerPixelAsDoubleType = variance; // NB: Reuse
// DoubleType
conv.convert(center, centerPixelAsDoubleType);
output.set(centerPixelAsDoubleType.compareTo(threshold) > 0);
}
示例2: compute
import net.imglib2.type.numeric.real.DoubleType; //导入方法依赖的package包/类
@Override
public void compute(final RectangleNeighborhood<I> input,
final DoubleType output)
{
// computation according to
// https://en.wikipedia.org/wiki/Summed_area_table
final IntegralCursor<I> cursor = new IntegralCursor<>(input);
final int dimensions = input.numDimensions();
// Compute \sum (-1)^{dim - ||cornerVector||_{1}} * I(x^{cornerVector})
final DoubleType sum = new DoubleType();
sum.setZero();
// Convert from input to return type
final Converter<I, DoubleType> conv = new RealDoubleConverter<>();
final DoubleType valueAsDoubleType = new DoubleType();
while (cursor.hasNext()) {
final I value = cursor.next().copy();
conv.convert(value, valueAsDoubleType);
// Obtain the cursor position encoded as corner vector
final int cornerInteger = cursor.getCornerRepresentation();
// Determine if the value has to be added (factor==1) or subtracted
// (factor==-1)
final DoubleType factor = new DoubleType(Math.pow(-1.0d, dimensions -
IntegralMean.norm(cornerInteger)));
valueAsDoubleType.mul(factor);
sum.add(valueAsDoubleType);
}
output.set(sum);
}
示例3: compute
import net.imglib2.type.numeric.real.DoubleType; //导入方法依赖的package包/类
@Override
public void compute(final RectangleNeighborhood<Composite<I>> input,
final DoubleType output)
{
// computation according to
// https://en.wikipedia.org/wiki/Summed_area_table
final IntegralCursor<Composite<I>> cursorS1 = new IntegralCursor<>(input);
final int dimensions = input.numDimensions();
// Compute \sum (-1)^{dim - ||cornerVector||_{1}} * I(x^{cornerVector})
final DoubleType sum1 = new DoubleType();
sum1.setZero();
// Convert from input to return type
final Converter<I, DoubleType> conv = new RealDoubleConverter<>();
// Compute \sum (-1)^{dim - ||cornerVector||_{1}} * I(x^{cornerVector})
final DoubleType sum2 = new DoubleType();
sum2.setZero();
final DoubleType valueAsDoubleType = new DoubleType();
while (cursorS1.hasNext()) {
final Composite<I> compositeValue = cursorS1.next();
final I value1 = compositeValue.get(0).copy();
conv.convert(value1, valueAsDoubleType);
// Obtain the cursor position encoded as corner vector
final int cornerInteger1 = cursorS1.getCornerRepresentation();
// Determine if the value has to be added (factor==1) or subtracted
// (factor==-1)
final DoubleType factor = new DoubleType(Math.pow(-1.0d, dimensions -
IntegralMean.norm(cornerInteger1)));
valueAsDoubleType.mul(factor);
sum1.add(valueAsDoubleType);
final I value2 = compositeValue.get(1).copy();
conv.convert(value2, valueAsDoubleType);
// Determine if the value has to be added (factor==1) or subtracted
// (factor==-1)
valueAsDoubleType.mul(factor);
sum2.add(valueAsDoubleType);
}
final int area = (int) Intervals.numElements(Intervals.expand(input, -1l));
valueAsDoubleType.set(area); // NB: Reuse available DoubleType
sum1.mul(sum1);
sum1.div(valueAsDoubleType); // NB
sum2.sub(sum1);
valueAsDoubleType.sub(new DoubleType(1)); // NB
sum2.div(valueAsDoubleType); // NB
output.set(sum2);
}
示例4: compute
import net.imglib2.type.numeric.real.DoubleType; //导入方法依赖的package包/类
@Override
public void compute(final RectangleNeighborhood<Composite<I>> input,
final DoubleType output)
{
// computation according to
// https://en.wikipedia.org/wiki/Summed_area_table
final IntegralCursor<Composite<I>> cursor = new IntegralCursor<>(input);
final int dimensions = input.numDimensions();
// Compute \sum (-1)^{dim - ||cornerVector||_{1}} * I(x^{cornerVector})
final DoubleType sum = new DoubleType();
sum.setZero();
// Convert from input to return type
final Converter<I, DoubleType> conv = new RealDoubleConverter<>();
final DoubleType valueAsDoubleType = new DoubleType();
while (cursor.hasNext()) {
final I value = cursor.next().get(0).copy();
conv.convert(value, valueAsDoubleType);
// Obtain the cursor position encoded as corner vector
final int cornerInteger = cursor.getCornerRepresentation();
// Determine if the value has to be added (factor==1) or subtracted
// (factor==-1)
final DoubleType factor = new DoubleType(Math.pow(-1.0d, dimensions -
IntegralMean.norm(cornerInteger)));
valueAsDoubleType.mul(factor);
sum.add(valueAsDoubleType);
}
final int area = (int) Intervals.numElements(Intervals.expand(input, -1l));
// Compute mean by dividing the sum divided by the number of elements
valueAsDoubleType.set(area); // NB: Reuse DoubleType
sum.div(valueAsDoubleType);
output.set(sum);
}