lsst.pipe.tasks
21.0.0-132-gbeff0d17+eb6a08541c
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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 507 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` Result struct with components: - ``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 529 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` Result struct with components: - ``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 572 of file maskStreaks.py.
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static |
Definition at line 525 of file maskStreaks.py.
lsst.pipe.tasks.maskStreaks.MaskStreaksTask.edges |
Definition at line 550 of file maskStreaks.py.
lsst.pipe.tasks.maskStreaks.MaskStreaksTask.lines |
Definition at line 551 of file maskStreaks.py.