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lsst.pipe.tasks gcae151f86b+6b56d0ebb3
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Public Member Functions | |
| def | find (self, maskedImage) |
| def | run (self, maskedImage) |
Public Attributes | |
| edges | |
| lines | |
Static Public Attributes | |
| ConfigClass = MaskStreaksConfig | |
Find streaks or other straight lines in image data. Nearby objects passing through the field of view of the telescope leave a bright trail in images. This class uses the Kernel Hough Transform (KHT) (Fernandes and Oliveira, 2007), implemented in `lsst.houghtransform`. The procedure works by taking a binary image, either provided as put or produced from the input data image, using a Canny filter to make an image of the edges in the original image, then running the KHT on the edge image. The KHT identifies clusters of non-zero points, breaks those clusters of points into straight lines, keeps clusters with a size greater than the user-set threshold, then performs a voting procedure to find the best-fit coordinates of any straight lines. Given the results of the KHT algorithm, clusters of lines are identified and grouped (generally these correspond to the two edges of a strea) and a profile is fit to the streak in the original (non-binary) image.
Definition at line 509 of file maskStreaks.py.
| def lsst.pipe.tasks.maskStreaks.MaskStreaksTask.find | ( | self, | |
| maskedImage | |||
| ) |
Find streaks in a masked image.
Parameters
----------
maskedImage : `lsst.afw.image.maskedImage`
The image in which to search for streaks.
Returns
-------
result : `lsst.pipe.base.Struct`
Results as a struct with attributes:
``originalLines``
Lines identified by kernel hough transform.
``lineClusters``
Lines grouped into clusters in rho-theta space.
``lines``
Final result for lines after line-profile fit.
``mask``
2-d boolean mask where detected lines are True.
Definition at line 531 of file maskStreaks.py.
| def lsst.pipe.tasks.maskStreaks.MaskStreaksTask.run | ( | self, | |
| maskedImage | |||
| ) |
Find and mask streaks in a masked image.
Finds streaks in the image and modifies maskedImage in place by adding a
mask plane with any identified streaks.
Parameters
----------
maskedImage : `lsst.afw.image.maskedImage`
The image in which to search for streaks. The mask detection plane
corresponding to `config.detectedMaskPlane` must be set with the
detected pixels.
Returns
-------
result : `lsst.pipe.base.Struct`
Results as a struct with attributes:
``originalLines``
Lines identified by kernel hough transform.
``lineClusters``
Lines grouped into clusters in rho-theta space.
``lines``
Final result for lines after line-profile fit.
Definition at line 578 of file maskStreaks.py.
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static |
Definition at line 527 of file maskStreaks.py.
| lsst.pipe.tasks.maskStreaks.MaskStreaksTask.edges |
Definition at line 556 of file maskStreaks.py.
| lsst.pipe.tasks.maskStreaks.MaskStreaksTask.lines |
Definition at line 557 of file maskStreaks.py.