Image¶
- class lsst.ts.wep.cwfs.Image(centroidFindType=CentroidFindType.RandomWalk)¶
Bases:
objectImage class for wavefront estimation.
- Parameters:
- centroidFindTypeenum ‘CentroidFindType’, optional
Algorithm to find the centroid of donut. (the default is CentroidFindType.RandomWalk.)
Methods Summary
getCenterAndR([image])Get the centroid data.
Get the centroid find object.
getImg()Get the image.
Get the image file path.
getSNR()Get the signal to noise ratio of donut.
setImg([image, imageFile])Set the wavefront image.
updateImage(image)Update the image of donut.
Methods Documentation
- getCenterAndR(image=None)¶
Get the centroid data.
- Parameters:
- imagenumpy.ndarray, optional
Image to do the analysis. (the default is None.)
- Returns:
- float
Centroid x.
- float
Centroid y.
- float
Effective weighting radius.
- getCentroidFind()¶
Get the centroid find object.
- Returns:
- CentroidRandomWalk, CentroidOtsu
Centroid find object.
- getImg()¶
Get the image.
- Returns:
- numpy.ndarray
Image.
- getImgFilePath()¶
Get the image file path.
- Returns:
- str
Image file path.
- getSNR()¶
Get the signal to noise ratio of donut.
- Returns:
- float
Signal to noise ratio.
- setImg(image=None, imageFile=None)¶
Set the wavefront image.
- Parameters:
- imagenumpy.ndarray, optional
Array of image. (the default is None.)
- imageFilestr, optional
Path of image file. (the default is None.)
- updateImage(image)¶
Update the image of donut.
- Parameters:
- imagenumpy.ndarray
Donut image.