LSSTApplications  17.0+124,17.0+14,17.0+73,18.0.0+37,18.0.0+80,18.0.0-4-g68ffd23+4,18.1.0-1-g0001055+12,18.1.0-1-g03d53ef+5,18.1.0-1-g1349e88+55,18.1.0-1-g2505f39+44,18.1.0-1-g5315e5e+4,18.1.0-1-g5e4b7ea+14,18.1.0-1-g7e8fceb+4,18.1.0-1-g85f8cd4+48,18.1.0-1-g8ff0b9f+4,18.1.0-1-ga2c679d+1,18.1.0-1-gd55f500+35,18.1.0-10-gb58edde+2,18.1.0-11-g0997b02+4,18.1.0-13-gfe4edf0b+12,18.1.0-14-g259bd21+21,18.1.0-19-gdb69f3f+2,18.1.0-2-g5f9922c+24,18.1.0-2-gd3b74e5+11,18.1.0-2-gfbf3545+32,18.1.0-26-g728bddb4+5,18.1.0-27-g6ff7ca9+2,18.1.0-3-g52aa583+25,18.1.0-3-g8ea57af+9,18.1.0-3-gb69f684+42,18.1.0-3-gfcaddf3+6,18.1.0-32-gd8786685a,18.1.0-4-gf3f9b77+6,18.1.0-5-g1dd662b+2,18.1.0-5-g6dbcb01+41,18.1.0-6-gae77429+3,18.1.0-7-g9d75d83+9,18.1.0-7-gae09a6d+30,18.1.0-9-gc381ef5+4,w.2019.45
LSSTDataManagementBasePackage
ImageSubtract.h
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1 // -*- lsst-c++ -*-
2 
3 /*
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24 
35 #ifndef LSST_IP_DIFFIM_IMAGESUBTRACT_H
36 #define LSST_IP_DIFFIM_IMAGESUBTRACT_H
37 
38 #include "Eigen/Core"
39 
40 #include "lsst/afw/math.h"
41 #include "lsst/afw/image.h"
42 
43 namespace lsst {
44 namespace ip {
45 namespace diffim {
46 
47 
61  template <typename PixelT, typename BackgroundT>
63  lsst::afw::image::MaskedImage<PixelT> const& templateImage,
64  lsst::afw::image::MaskedImage<PixelT> const& scienceMaskedImage,
65  lsst::afw::math::Kernel const& convolutionKernel,
66  BackgroundT background,
67  bool invert=true
68  );
69 
83  template <typename PixelT, typename BackgroundT>
85  lsst::afw::image::Image<PixelT> const& templateImage,
86  lsst::afw::image::MaskedImage<PixelT> const& scienceMaskedImage,
87  lsst::afw::math::Kernel const& convolutionKernel,
88  BackgroundT background,
89  bool invert=true
90  );
91 
99  template <typename PixelT>
100  Eigen::MatrixXd imageToEigenMatrix(
102  );
103 
104  Eigen::MatrixXi maskToEigenMatrix(
106  );
107 
108 }}} // end of namespace lsst::ip::diffim
109 
110 #endif
afw::table::Key< afw::table::Array< MaskPixelT > > mask
Eigen::MatrixXi maskToEigenMatrix(lsst::afw::image::Mask< lsst::afw::image::MaskPixel > const &mask)
lsst::afw::image::MaskedImage< PixelT > convolveAndSubtract(lsst::afw::image::MaskedImage< PixelT > const &templateImage, lsst::afw::image::MaskedImage< PixelT > const &scienceMaskedImage, lsst::afw::math::Kernel const &convolutionKernel, BackgroundT background, bool invert=true)
Execute fundamental task of convolving template and subtracting it from science image.
Relationship invert(Relationship r)
Given the relationship between two sets A and B (i.e.
Definition: Relationship.h:55
A base class for image defects.
Represent a 2-dimensional array of bitmask pixels.
Definition: Mask.h:77
A class to manipulate images, masks, and variance as a single object.
Definition: MaskedImage.h:73
Eigen::MatrixXd imageToEigenMatrix(lsst::afw::image::Image< PixelT > const &img)
Turns a 2-d Image into a 2-d Eigen Matrix.
Kernels are used for convolution with MaskedImages and (eventually) Images.
Definition: Kernel.h:111
A class to represent a 2-dimensional array of pixels.
Definition: Image.h:58