LSSTApplications  17.0+11,17.0+34,17.0+56,17.0+57,17.0+59,17.0+7,17.0-1-g377950a+33,17.0.1-1-g114240f+2,17.0.1-1-g4d4fbc4+28,17.0.1-1-g55520dc+49,17.0.1-1-g5f4ed7e+52,17.0.1-1-g6dd7d69+17,17.0.1-1-g8de6c91+11,17.0.1-1-gb9095d2+7,17.0.1-1-ge9fec5e+5,17.0.1-1-gf4e0155+55,17.0.1-1-gfc65f5f+50,17.0.1-1-gfc6fb1f+20,17.0.1-10-g87f9f3f+1,17.0.1-11-ge9de802+16,17.0.1-16-ga14f7d5c+4,17.0.1-17-gc79d625+1,17.0.1-17-gdae4c4a+8,17.0.1-2-g26618f5+29,17.0.1-2-g54f2ebc+9,17.0.1-2-gf403422+1,17.0.1-20-g2ca2f74+6,17.0.1-23-gf3eadeb7+1,17.0.1-3-g7e86b59+39,17.0.1-3-gb5ca14a,17.0.1-3-gd08d533+40,17.0.1-30-g596af8797,17.0.1-4-g59d126d+4,17.0.1-4-gc69c472+5,17.0.1-6-g5afd9b9+4,17.0.1-7-g35889ee+1,17.0.1-7-gc7c8782+18,17.0.1-9-gc4bbfb2+3,w.2019.22
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
111 
112 
113 
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:78
A class to manipulate images, masks, and variance as a single object.
Definition: MaskedImage.h:74
Eigen::MatrixXd imageToEigenMatrix(lsst::afw::image::Image< PixelT > const &img)
Turns a 2-d Image into a 2-d Eigen Matrix.
afw::table::Key< afw::table::Array< MaskPixelT > > mask
Kernels are used for convolution with MaskedImages and (eventually) Images.
Definition: Kernel.h:112
A class to represent a 2-dimensional array of pixels.
Definition: Image.h:59