CentroidDefault

class lsst.ts.wep.centroid.CentroidDefault

Bases: object

Default Centroid class.

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:

• imgDonut (numpy.ndarray) – Donut image.

• **kwargs (dict[str, any]) – Dictionary of input argument: new value for that input argument.

Return type:

tuple[float, float, float]

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:

• imgBinary (numpy.ndarray [int]) – Binary image of donut.

• **kwargs (dict[str, any]) – Dictionary of input argument: new value for that input argument.

Return type:

tuple[float, float, float]

Returns:

• float – Centroid x.

• float – Centroid y.

• float – Effective weighting radius.

getImgBinary(imgDonut)

Get the binary image.

Parameters:

imgDonut (numpy.ndarray) – Donut image to do the analysis.

Returns:

Binary image of donut.

Return type:

numpy.ndarray [int]

Raises:

NotImplementedError – Child class should implement this.