CentroidRandomWalk¶
- class lsst.ts.wep.centroid.CentroidRandomWalk¶
Bases:
CentroidDefaultCentroidDefault child class to get the centroid of donut by the random walk model.
Methods Summary
getCenterAndR(imgDonut, **kwargs)Get the centroid data and effective weighting radius.
getCenterAndRfromImgBinary(imgBinary, **kwargs)Get the centroid data and effective weighting radius from the binary image.
getImgBinary(imgDonut)Get the binary image.
Methods Documentation
- getCenterAndR(imgDonut, **kwargs)¶
Get the centroid data and effective weighting radius.
- Parameters
- imgDonutnumpy.ndarray
Donut image.
- **kwargsdict[str, any]
Dictionary of input argument: new value for that input argument.
- Returns
- float
Centroid x.
- float
Centroid y.
- float
Effective weighting radius.
- getCenterAndRfromImgBinary(imgBinary, **kwargs)¶
Get the centroid data and effective weighting radius from the binary image.
- Parameters
- imgBinarynumpy.ndarray [int]
Binary image of donut.
- **kwargsdict[str, any]
Dictionary of input argument: new value for that input argument.
- Returns
- float
Centroid x.
- float
Centroid y.
- float
Effective weighting radius.
- getImgBinary(imgDonut)¶
Get the binary image.
- Parameters
- imgDonutnumpy.ndarray
Donut image to do the analysis.
- Returns
- numpy.ndarray [int]
Binary image of donut.