LSSTApplications  18.0.0+106,18.0.0+50,19.0.0,19.0.0+1,19.0.0+10,19.0.0+11,19.0.0+13,19.0.0+17,19.0.0+2,19.0.0-1-g20d9b18+6,19.0.0-1-g425ff20,19.0.0-1-g5549ca4,19.0.0-1-g580fafe+6,19.0.0-1-g6fe20d0+1,19.0.0-1-g7011481+9,19.0.0-1-g8c57eb9+6,19.0.0-1-gb5175dc+11,19.0.0-1-gdc0e4a7+9,19.0.0-1-ge272bc4+6,19.0.0-1-ge3aa853,19.0.0-10-g448f008b,19.0.0-12-g6990b2c,19.0.0-2-g0d9f9cd+11,19.0.0-2-g3d9e4fb2+11,19.0.0-2-g5037de4,19.0.0-2-gb96a1c4+3,19.0.0-2-gd955cfd+15,19.0.0-3-g2d13df8,19.0.0-3-g6f3c7dc,19.0.0-4-g725f80e+11,19.0.0-4-ga671dab3b+1,19.0.0-4-gad373c5+3,19.0.0-5-ga2acb9c+2,19.0.0-5-gfe96e6c+2,w.2020.01
LSSTDataManagementBasePackage
ImageSubtract.h
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1 // -*- lsst-c++ -*-
2 
3 /*
4  * LSST Data Management System
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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