Module org.scijava.ops.image

Package org.scijava.ops.image.filter.convolve

Class NaiveConvolutions

java.lang.Object

org.scijava.ops.image.filter.convolve.NaiveConvolutions

public class NaiveConvolutions
extends Object

A collection of convolution Ops that operate purely in the physical (i.e. not Fourier) domain.

Author:

Brian Northan, Gabriel Selzer

Constructor Summary

Constructors

Constructor	Description
NaiveConvolutions()

Method Summary

Modifier and Type	Method	Description
static <I extends RealType<I>,K extends RealType<K>,O extends RealType<O>> RandomAccessibleInterval<O>	convolveNaive(BiFunction<RandomAccessibleInterval<I>,O,RandomAccessibleInterval<O>> creator, RandomAccessibleInterval<I> input, RandomAccessibleInterval<K> kernel, O outType, OutOfBoundsFactory<I,RandomAccessibleInterval<I>> outOfBoundsFactory)	A simple implementation of convolution that operates purely in the physical domain.
static <I extends RealType<I>,K extends RealType<K>,O extends RealType<O>> void	convolveNaive(RandomAccessible<I> input, RandomAccessibleInterval<K> kernel, RandomAccessibleInterval<O> output)	A simple implementation of convolution that operates purely in the physical domain.
static <I extends RealType<I>,K extends RealType<K>> RandomAccessibleInterval<FloatType>	convolveNaiveToFloats(BiFunction<RandomAccessibleInterval<I>,FloatType,RandomAccessibleInterval<FloatType>> creator, RandomAccessibleInterval<I> input, RandomAccessibleInterval<K> kernel, OutOfBoundsFactory<I,RandomAccessibleInterval<I>> outOfBoundsFactory)	A simple implementation of convolution that operates purely in the physical domain.

Methods inherited from class java.lang.Object

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

Constructor Detail

NaiveConvolutions

public NaiveConvolutions()

Method Detail

convolveNaiveToFloats

public static <I extends RealType<I>,K extends RealType<K>> RandomAccessibleInterval<FloatType> convolveNaiveToFloats(BiFunction<RandomAccessibleInterval<I>,FloatType,RandomAccessibleInterval<FloatType>> creator,
                                                                                                                            RandomAccessibleInterval<I> input,
                                                                                                                            RandomAccessibleInterval<K> kernel,
                                                                                                                            OutOfBoundsFactory<I,RandomAccessibleInterval<I>> outOfBoundsFactory)

A simple implementation of convolution that operates purely in the physical domain.

Parameters:

creator - a Op that can create an output image

input - the input data

kernel - the kernel

outOfBoundsFactory - used to fill in out-of-bounds indices on the input data

Returns:

the convolution of input and kernel

Implementation Note:

op names="filter.convolve, filter.convolveNaive"

convolveNaive

public static <I extends RealType<I>,K extends RealType<K>,O extends RealType<O>> RandomAccessibleInterval<O> convolveNaive(BiFunction<RandomAccessibleInterval<I>,O,RandomAccessibleInterval<O>> creator,
                                                                                                                                        RandomAccessibleInterval<I> input,
                                                                                                                                        RandomAccessibleInterval<K> kernel,
                                                                                                                                        O outType,
                                                                                                                                        OutOfBoundsFactory<I,RandomAccessibleInterval<I>> outOfBoundsFactory)

A simple implementation of convolution that operates purely in the physical domain.

Parameters:

creator - a Op that can create an output image

input - the input data

kernel - the kernel

outType - the expected element type

outOfBoundsFactory - used to fill in out-of-bounds indices on the input data

Returns:

the convolution of input and kernel

Implementation Note:

op names="filter.convolve, filter.convolveNaive"

convolveNaive

public static <I extends RealType<I>,K extends RealType<K>,O extends RealType<O>> void convolveNaive(RandomAccessible<I> input,
                                                                                                                 RandomAccessibleInterval<K> kernel,
                                                                                                                 RandomAccessibleInterval<O> output)

A simple implementation of convolution that operates purely in the physical domain.

Parameters:

input - the input data

kernel - the kernel

output - a pre-allocated output buffer

Implementation Note:

op names="filter.convolve, filter.convolveNaive" type=Computer