lsst.ip.diffim g47cf500ddd+5200e80bc9
Loading...
Searching...
No Matches
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>
59
60
61}}} // end of namespace lsst::ip::diffim
62
63#endif
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...
Asseses the quality of a candidate given a spatial kernel and background model.