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lsst.pipe.tasks gfb5511b3f7+6fc9c088ec
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Public Member Functions | |
| find (self, maskedImage) | |
| run (self, maskedImage) | |
Public Attributes | |
| edges | |
| lines | |
Static Public Attributes | |
| ConfigClass = MaskStreaksConfig | |
Protected Member Functions | |
| _cannyFilter (self, image) | |
| _runKHT (self, image) | |
| _findClusters (self, lines) | |
| _fitProfile (self, lines, maskedImage) | |
Static Protected Attributes | |
| str | _DefaultName = "maskStreaks" |
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 518 of file maskStreaks.py.
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protected |
Apply a canny filter to the data in order to detect edges.
Parameters
----------
image : `np.ndarray`
2-d image data on which to run filter.
Returns
-------
cannyData : `np.ndarray`
2-d image of edges found in input image.
Definition at line 623 of file maskStreaks.py.
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protected |
Group lines that are close in parameter space and likely describe
the same streak.
Parameters
----------
lines : `LineCollection`
Collection of lines to group into clusters.
Returns
-------
result : `LineCollection`
Average `Line` for each cluster of `Line`s in the input
`LineCollection`.
Definition at line 663 of file maskStreaks.py.
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protected |
Fit the profile of the streak.
Given the initial parameters of detected lines, fit a model for the
streak to the original (non-binary image). The assumed model is a
straight line with a Moffat profile.
Parameters
----------
lines : `LineCollection`
Collection of guesses for `Line`s detected in the image.
maskedImage : `lsst.afw.image.maskedImage`
Original image to be used to fit profile of streak.
Returns
-------
lineFits : `LineCollection`
Collection of `Line` profiles fit to the data.
finalMask : `np.ndarray`
2d mask array with detected streaks=1.
Definition at line 714 of file maskStreaks.py.
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protected |
Run Kernel Hough Transform on image.
Parameters
----------
image : `np.ndarray`
2-d image data on which to detect lines.
Returns
-------
result : `LineCollection`
Collection of detected lines, with their detected rho and theta
coordinates.
Definition at line 641 of file maskStreaks.py.
| 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 540 of file maskStreaks.py.
| 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 587 of file maskStreaks.py.
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staticprotected |
Definition at line 537 of file maskStreaks.py.
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static |
Definition at line 536 of file maskStreaks.py.
| lsst.pipe.tasks.maskStreaks.MaskStreaksTask.edges |
Definition at line 565 of file maskStreaks.py.
| lsst.pipe.tasks.maskStreaks.MaskStreaksTask.lines |
Definition at line 566 of file maskStreaks.py.