Module ctsimu.processing.binning

Classes

class Step_Binning (binSizeX: int = 1, binSizeY: int = 1, binningOperation: str = 'mean')

Binning operation for the processing pipeline.

Parameters

binSizeX : int

Bin size in x direction.

binSizeY : int

Bin size in y direction.

binningOperation : str

Operation used to calculate the binned gray value.

Options: "mean", "min", "max", "sum"

Expand source code

class Step_Binning(Step):
    """ Binning operation for the processing pipeline. """

    def __init__(self, binSizeX:int=1, binSizeY:int=1, binningOperation:str="mean"):
        """
        Parameters
        ----------
        binSizeX : int
            Bin size in x direction.

        binSizeY : int
            Bin size in y direction.

        binningOperation : str
            Operation used to calculate the binned gray value.

            Options: `"mean"`, `"min"`, `"max"`, `"sum"`
        """

        Step.__init__(self, "Binning")
        self.binSizeX = 1
        self.binSizeY = 1
        self.binningOperation = "mean"

        self.validBinningOperations = ["mean", "min", "max", "sum", None]

        self.setBinning(binSizeX, binSizeY, binningOperation)

    def setBinning(self, x, y, operation='mean'):
        self.setPrepared(False)

        if x is None:
            x = 1

        if y is None:
            y = 1

        if (x >= 0) and (y >= 0):
            if x == 0:
                x = 1
            if y == 0:
                y = 1

            self.binSizeX = int(x)
            self.binSizeY = int(y)
        else:
            raise Exception("The bin size must be >= 1.")

        if operation in self.validBinningOperations:
            self.binningOperation = operation
        else:
            raise Exception("'{}' is not a valid binning operation. Options are: {}".format(operation, self.validBinningOperations))

    def getBinSizeX(self):
        return self.binSizeX

    def getBinSizeY(self):
        return self.binSizeY

    def getBinningOperation(self):
        return self.binningOperation

    def prepare(self):
        """ Nothing to prepare for the binning module. """
        if isinstance(self.pipe, Pipeline):
            self.prepared = True
            return

        self.prepared = False
        raise Exception("Step must be part of a processing pipeline before it can prepare.")

    def run(self, image):
        """ Bin given image. """
        self.prepare()

        if (self.getBinSizeX() > 1) or (self.getBinSizeY() > 1):
            image.bin(self.getBinSizeX(), self.getBinSizeY(), self.getBinningOperation())

        return image

Ancestors

• Step

Methods

def getBinSizeX(self)

Expand source code

def getBinSizeX(self):
    return self.binSizeX

def getBinSizeY(self)

Expand source code

def getBinSizeY(self):
    return self.binSizeY

def getBinningOperation(self)

Expand source code

def getBinningOperation(self):
    return self.binningOperation

def prepare(self)

Nothing to prepare for the binning module.

Expand source code

def prepare(self):
    """ Nothing to prepare for the binning module. """
    if isinstance(self.pipe, Pipeline):
        self.prepared = True
        return

    self.prepared = False
    raise Exception("Step must be part of a processing pipeline before it can prepare.")

def run(self, image)

Bin given image.

Expand source code

def run(self, image):
    """ Bin given image. """
    self.prepare()

    if (self.getBinSizeX() > 1) or (self.getBinSizeY() > 1):
        image.bin(self.getBinSizeX(), self.getBinSizeY(), self.getBinningOperation())

    return image

def setBinning(self, x, y, operation='mean')

Expand source code

def setBinning(self, x, y, operation='mean'):
    self.setPrepared(False)

    if x is None:
        x = 1

    if y is None:
        y = 1

    if (x >= 0) and (y >= 0):
        if x == 0:
            x = 1
        if y == 0:
            y = 1

        self.binSizeX = int(x)
        self.binSizeY = int(y)
    else:
        raise Exception("The bin size must be >= 1.")

    if operation in self.validBinningOperations:
        self.binningOperation = operation
    else:
        raise Exception("'{}' is not a valid binning operation. Options are: {}".format(operation, self.validBinningOperations))

Inherited members

• Step:
  • followUp