Signal Processing Filters

Signal processing filters applied to a stream objects.

morphocut.filters.BinomialFilter(value: T | Variable[T], size: int, centered=True)

Apply a binomial kernel (e.g. [1,2,1]) to the specified window.

.note:

Only supports centered filters.

morphocut.filters.ExponentialSmoothingFilter(value: T | Variable[T], alpha: float)

Smooth value over a stream of objects with exponential decay.

Parameters:

• value (RawOrVariable) – Values to smooth.

• alpha (float) – Decaying factor, 0 <= alpha <= 1.

Returns:

Variable – Smoothed value.

Formula: out = alpha * value + (1 - alpha) * last_value

morphocut.filters.MaxFilter(value: T | Variable[T], size: int = 5, centered=True)

Calculate the maximum inside the specified window.

morphocut.filters.MeanFilter(value: T | Variable[T], size: int = 5, centered=True)

Calculate the mean inside the specified window.

morphocut.filters.MedianFilter(value: T | Variable[T], size: int = 5, centered=True)

Calculate the median inside the specified window.

morphocut.filters.MinFilter(value: T | Variable[T], size: int = 5, centered=True)

Calculate the minimum inside the specified window.