fast::LaplacianOfGaussian class
#include <FAST/Algorithms/LaplacianOfGaussian/LaplacianOfGaussian.hpp>

Calculate image gradient using Laplacian of Gaussian method.

Contents

Base classes

class ProcessObject
Abstract base class for all process objects.

Constructors, destructors, conversion operators

~LaplacianOfGaussian()

Public functions

auto create(float stdDev, uchar maskSize) -> std::shared_ptr<LaplacianOfGaussian>
Create instance.
void setStandardDeviation(float stdDev)

Private functions

void execute() virtual
void waitToFinish() virtual

Function documentation

std::shared_ptr<LaplacianOfGaussian> fast::LaplacianOfGaussian::create(float stdDev, uchar maskSize)

Create instance.

Parameters
stdDev Standard deviation of Gaussian, default: 1.0
maskSize Size of mask used for Gaussian, if zero mask size is calculated based on stdDev. Default: 0
Returns instance