LSST Applications 26.0.0,g0265f82a02+6660c170cc,g07994bdeae+30b05a742e,g0a0026dc87+17526d298f,g0a60f58ba1+17526d298f,g0e4bf8285c+96dd2c2ea9,g0ecae5effc+c266a536c8,g1e7d6db67d+6f7cb1f4bb,g26482f50c6+6346c0633c,g2bbee38e9b+6660c170cc,g2cc88a2952+0a4e78cd49,g3273194fdb+f6908454ef,g337abbeb29+6660c170cc,g337c41fc51+9a8f8f0815,g37c6e7c3d5+7bbafe9d37,g44018dc512+6660c170cc,g4a941329ef+4f7594a38e,g4c90b7bd52+5145c320d2,g58be5f913a+bea990ba40,g635b316a6c+8d6b3a3e56,g67924a670a+bfead8c487,g6ae5381d9b+81bc2a20b4,g93c4d6e787+26b17396bd,g98cecbdb62+ed2cb6d659,g98ffbb4407+81bc2a20b4,g9ddcbc5298+7f7571301f,ga1e77700b3+99e9273977,gae46bcf261+6660c170cc,gb2715bf1a1+17526d298f,gc86a011abf+17526d298f,gcf0d15dbbd+96dd2c2ea9,gdaeeff99f8+0d8dbea60f,gdb4ec4c597+6660c170cc,ge23793e450+96dd2c2ea9,gf041782ebf+171108ac67
LSST Data Management Base Package
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KernelCandidateDetection.h
Go to the documentation of this file.
1// -*- lsst-c++ -*-
12#ifndef LSST_IP_DIFFIM_KERNELCANDIDATEDETECTION_H
13#define LSST_IP_DIFFIM_KERNELCANDIDATEDETECTION_H
14
18
19namespace lsst {
20namespace ip {
21namespace diffim {
22
34 template <typename PixelT>
36 public:
39
41
43
44 void apply(MaskedImagePtr const& templateMaskedImage,
45 MaskedImagePtr const& scienceMaskedImage);
46
48 int fpGrowPix,
49 MaskedImagePtr const& templateMaskedImage,
50 MaskedImagePtr const& scienceMaskedImage);
51
53
54 private:
58 };
59
60
61}}} // end of namespace lsst::ip::diffim
62
63#endif
Class for storing generic metadata.
Definition PropertySet.h:66
Search through images for Footprints with no masked pixels.
bool growCandidate(std::shared_ptr< lsst::afw::detection::Footprint > fp, int fpGrowPix, MaskedImagePtr const &templateMaskedImage, MaskedImagePtr const &scienceMaskedImage)
std::vector< std::shared_ptr< lsst::afw::detection::Footprint > > getFootprints()
std::shared_ptr< KernelCandidateDetection > Ptr
std::shared_ptr< lsst::afw::image::MaskedImage< PixelT > > MaskedImagePtr
void apply(MaskedImagePtr const &templateMaskedImage, MaskedImagePtr const &scienceMaskedImage)
Runs Detection on a single image for significant peaks, and checks returned Footprints for Masked pix...