CentroidRandomWalk

class lsst.ts.wep.centroid.CentroidRandomWalk

Bases: CentroidDefault

CentroidDefault 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.