mmcfilters::DistanceTransformProfiles Class Reference

Compact CSR-like sparse distance histograms for every live tree node. More...

#include <DistanceTransformProfiles.hpp>

Classes
struct	Span
	Offset and length of one node histogram in the flat bin array. More...

Public Member Functions
	DistanceTransformProfiles (DistanceTransformAccuracy accuracy, std::vector< DistanceTransformHistogramBin > bins, std::vector< Span > spans, std::vector< std::uint8_t > alive)
	Constructs validated CSR-like profiles.
DistanceTransformAccuracy	accuracy () const noexcept
	Returns the numerical backend used to produce the profiles.
std::size_t	numNodeSlots () const noexcept
	Returns the number of addressable internal node slots.
std::size_t	numBins () const noexcept
	Returns the number of bins stored across all live nodes.
std::span< const DistanceTransformHistogramBin >	histogram (NodeId node) const
	Returns the sorted sparse histogram for one live internal node.
std::vector< DistanceTransformSurvivalBin >	survivalProfile (NodeId node) const
	Computes counts at or above every represented squared-distance level.

Detailed Description

Compact CSR-like sparse distance histograms for every live tree node.

Definition at line 16 of file DistanceTransformProfiles.hpp.

Constructor & Destructor Documentation

DistanceTransformProfiles()

mmcfilters::DistanceTransformProfiles::DistanceTransformProfiles ( DistanceTransformAccuracy  accuracy, std::vector< DistanceTransformHistogramBin >  bins, std::vector< Span >  spans, std::vector< std::uint8_t >  alive  )

inline

Constructs validated CSR-like profiles.

Parameters

accuracy	Numerical backend that produced the profiles.
bins	Flat sorted-bin storage.
spans	Per-node offsets and lengths into bins.
alive	Per-node liveness flags aligned with spans.

Definition at line 33 of file DistanceTransformProfiles.hpp.

Member Function Documentation

accuracy()

DistanceTransformAccuracy mmcfilters::DistanceTransformProfiles::accuracy ( ) const

inlinenoexcept

Returns the numerical backend used to produce the profiles.

Returns

Accuracy selection.

Definition at line 57 of file DistanceTransformProfiles.hpp.

histogram()

std::span< const DistanceTransformHistogramBin > mmcfilters::DistanceTransformProfiles::histogram ( NodeId  node ) const

inline

Returns the sorted sparse histogram for one live internal node.

Parameters

node	Live internal node id.

Returns

Borrowed span of strictly increasing squared-distance bins.

Definition at line 68 of file DistanceTransformProfiles.hpp.

numBins()

std::size_t mmcfilters::DistanceTransformProfiles::numBins ( ) const

inlinenoexcept

Returns the number of bins stored across all live nodes.

Returns

Flat bin count.

Definition at line 61 of file DistanceTransformProfiles.hpp.

numNodeSlots()

std::size_t mmcfilters::DistanceTransformProfiles::numNodeSlots ( ) const

inlinenoexcept

Returns the number of addressable internal node slots.

Returns

Node-slot count.

Definition at line 59 of file DistanceTransformProfiles.hpp.

survivalProfile()

std::vector< DistanceTransformSurvivalBin > mmcfilters::DistanceTransformProfiles::survivalProfile ( NodeId  node ) const

inline

Computes counts at or above every represented squared-distance level.

Parameters

node	Live internal node id.

Returns

Owning survival-profile bins in increasing threshold order.

Definition at line 78 of file DistanceTransformProfiles.hpp.

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The documentation for this class was generated from the following file:

• mmcfilters/distanceTransform/DistanceTransformProfiles.hpp