File KernelCandidateDetection.h¶
Detect candidates for kernels within 2 images.
- Author
Andrew Becker, University of Washington
-
namespace
lsst
Class for a simple mapping implementing a generic AstrometryTransform.
Remove all non-astronomical counts from the Chunk Exposure’s pixels.
Forward declarations for lsst::utils::Cache
For details on the Cache class, see the Cache.h file.
It uses a template rather than a pointer so that the derived classes can use the specifics of the transform. The class simplePolyMapping overloads a few routines.
A base class for image defects
Numeric constants used by the Integrate.h integrator routines.
Compute Image Statistics
- Note
Gauss-Kronrod-Patterson quadrature coefficients for use in quadpack routine qng. These coefficients were calculated with 101 decimal digit arithmetic by L. W. Fullerton, Bell Labs, Nov 1981.
- Note
The Statistics class itself can only handle lsst::afw::image::MaskedImage() types. The philosophy has been to handle other types by making them look like lsst::afw::image::MaskedImage() and reusing that code. Users should have no need to instantiate a Statistics object directly, but should use the overloaded makeStatistics() factory functions.
-
namespace
ip
-
namespace
diffim
-
template<typename
PixelT
>
classKernelCandidateDetection
- #include <KernelCandidateDetection.h>
Search through images for Footprints with no masked pixels.
- Note
Runs detection on the template; searches through both images for masked pixels
- Parameters
templateMaskedImage
: MaskedImage that will be convolved with kernelscienceMaskedImage
: MaskedImage to subtract convolved template fromps
: PropertySet for operations; in particular object detection
Public Types
-
typedef std::shared_ptr<KernelCandidateDetection>
Ptr
-
typedef std::shared_ptr<lsst::afw::image::MaskedImage<PixelT>>
MaskedImagePtr
Public Functions
-
virtual
~KernelCandidateDetection
()
-
void
apply
(MaskedImagePtr const &templateMaskedImage, MaskedImagePtr const &scienceMaskedImage)
-
template<typename
-
namespace