Make detection mask and set the mask plane.
Creat a binary image from a masked image by setting all data with signal-to-
noise below some threshold to zero, and all data above the threshold to one.
If the binning parameter has been set, this procedure will be preceded by a
weighted binning of the data in order to smooth the result, after which the
result is scaled back to the original dimensions. Set the detection mask
plane with this binary image.
Parameters
----------
maskedImage : `lsst.afw.image.maskedImage`
Image to be (optionally) binned and converted.
forceSlowBin : `bool`, optional
Force usage of slower binning method to check that the two methods
give the same result.
binning : `int`, optional
Number of pixels by which to bin image.
detectedPlane : `str`, optional
Name of mask with pixels that were detected above threshold in image.
badMaskPlanes : `set`, optional
Names of masks with pixels that are rejected.
detectionThreshold : `float`, optional
Boundary in signal-to-noise between non-detections and detections for
making a binary image from the original input image.
Definition at line 39 of file maskStreaks.py.