mxlib
c++ tools for analyzing astronomical data and other tasks by Jared R. Males. [git repo]
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mx::improc::gaussKernel< _arrayT, _kernW, _verboseT > Struct Template Reference

template<typename _arrayT, size_t _kernW = 4, class _verboseT = verbose::d>
struct mx::improc::gaussKernel< _arrayT, _kernW, _verboseT >

Symetric Gaussian smoothing kernel.

Definition at line 72 of file imageFilters.hpp.

#include <improc/imageFilters.hpp>

Public Member Functions

error_t setKernel (arithT x, arithT y, arrayT &kernelArray) const

Member Function Documentation

◆ setKernel()

template<typename _arrayT, size_t _kernW = 4, class _verboseT = verbose::d>
error_t mx::improc::gaussKernel< _arrayT, _kernW, _verboseT >::setKernel ( arithT x,
arithT y,
arrayT & kernelArray ) const
inline
Parameters
[in]xx-coordinate relative to image center
[in]yx-coordinate relative to image center
[in]kernelArraythe array to populate with the kernel, resized

Definition at line 118 of file imageFilters.hpp.

References mx::noerror.


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