NormalEdgeDetector Class Reference

#include <NormalEdgeDetector.h>

Inheritance diagram for NormalEdgeDetector:

[legend]

List of all members.

Public Member Functions
	NormalEdgeDetector (const PeakFinder *peak, unsigned int scales=5, double sigma=1.6, double step=1.4, unsigned int window=3, SmoothingFilterFamily filterType=BESSEL)
Protected Member Functions
virtual void	computeDifferentialBank ()

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Detailed Description

Representation of the normal edge detector. The class represents the normal edge detector defined in the paper. It extracts edges (extrema of the first derivative) on the normal signal.

Author:

Gian Diego Tipaldi

Definition at line 35 of file NormalEdgeDetector.h.

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Constructor & Destructor Documentation

NormalEdgeDetector::NormalEdgeDetector	(	const PeakFinder *	peak,
		unsigned int	scales = 5,
		double	sigma = 1.6,
		double	step = 1.4,
		unsigned int	window = 3,
		SmoothingFilterFamily	filterType = BESSEL
	)

Constructor. Constructs and initialize the normal edge detector.

Parameters:

	peak	The peak finder used to detect maxima in the signal.
	scales	The number of different scales to consider.
	sigma	The standard deviation of the smoothing kernel for the initial scale ( in the paper).
	step	The scale increment at every new scale ( in the paper). The standard deviation of the kernel at scale is
	window	The window size for the local line fitting.
	filterType	The smoothing kernel used in the detector.

Definition at line 4 of file NormalEdgeDetector.cpp.

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Member Function Documentation

void NormalEdgeDetector::computeDifferentialBank

(

)

[protected, virtual]

Computes the bank for the first derivative at different scales.

Implements NormalDetector.

Definition at line 10 of file NormalEdgeDetector.cpp.

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

• NormalEdgeDetector.h
• NormalEdgeDetector.cpp