MaskStreaksTask¶
Python API summary¶
from lsst.meas.algorithms.maskStreaks import MaskStreaksTask
-
class
MaskStreaksTask(config=None, *, name=None, parentTask=None, log=None) Find streaks or other straight lines in image data
...
- attributeconfig
Access configuration fields and retargetable subtasks.
See also
See the MaskStreaksTask API reference for complete details.
Retargetable subtasks¶
No subtasks.
Configuration fields¶
absMinimumKernelHeight¶
Minimum absolute height of the streak-finding kernel
badMaskPlanes¶
Names of mask plane regions to ignore entirely when doing streak detection
clusterMinimumDeviation¶
Allowed deviation (in pixels) from a straight line for a detected line
clusterMinimumSize¶
Minimum size in pixels of detected clusters
dChi2Tolerance¶
Absolute difference in Chi2 between iterations of line profilefitting that is acceptable for convergence
delta¶
Stepsize in angle-radius parameter space
detectedMaskPlane¶
Name of mask with pixels above detection threshold, used for firstestimate of streak locations
footprintThreshold¶
Threshold at which to determine edge of line, in units of nanoJanskys
invSigma¶
Inverse of the Moffat sigma parameter (in units of pixels)describing the profile of the streak
minimumKernelHeight¶
Minimum height of the streak-finding kernel relative to the tallest kernel
nSigma¶
Number of sigmas from center of kernel to include in voting procedure
onlyMaskDetected¶
If true, only propagate the part of the streak mask that overlaps with the detection mask.
rhoBinSize¶
Binsize in pixels for position parameter rho when finding clusters of detected lines
streaksMaskPlane¶
Name of mask plane holding detected streaks
thetaBinSize¶
Binsize in degrees for angle parameter theta when finding clusters of detected lines