Module org.scijava.ops.image

Package org.scijava.ops.image.stats

Class IntegralMean<I extends RealType<I>>

java.lang.Object

org.scijava.ops.image.stats.IntegralMean<I>

Type Parameters:

I - input type

All Implemented Interfaces:

BiConsumer<RectangleNeighborhood<? extends Composite<I>>,DoubleType>, Computers.Arity1<RectangleNeighborhood<? extends Composite<I>>,DoubleType>

public class IntegralMean<I extends RealType<I>>
extends Object
implements Computers.Arity1<RectangleNeighborhood<? extends Composite<I>>,DoubleType>

Op to calculate the stats.mean from an integral image using a specialized Cursor implementation.

Author:

Stefan Helfrich (University of Konstanz)

Implementation Note:

op names='stats.integralMean'

Constructor Summary

Constructors

Constructor	Description
IntegralMean()

Method Summary

Modifier and Type	Method	Description
void	compute(RectangleNeighborhood<? extends Composite<I>> input, DoubleType integralMean)	TODO
static int	norm(int cornerPosition)	Computes L1 norm of the position of an IntegralCursor.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface java.util.function.BiConsumer

andThen

Methods inherited from interface org.scijava.function.Computers.Arity1

accept

Constructor Detail

IntegralMean

public IntegralMean()

Method Detail

compute

public void compute(RectangleNeighborhood<? extends Composite<I>> input,
                    DoubleType integralMean)

TODO

Specified by:

compute in interface Computers.Arity1<RectangleNeighborhood<? extends Composite<I extends RealType<I>>>,DoubleType>

Parameters:

input -

integralMean -

norm

public static int norm(int cornerPosition)

Computes L1 norm of the position of an IntegralCursor. Computation is based on determining the number of 1 bits in the position.

Parameters:

cornerPosition - position vector of an IntegralCursor encoded as integer

Returns:

L1 norm of the position