Box filter

Purpose

Image filtering (spatial filtering with a moving window)

Synopsis

xf = box_filter(x,win,options)

Description

Note that to allow robust statistics the filter is based on a moving window (or box), and is slow compared to other filter methods.

Inputs

• x = image data class 'double' or 'dataset'. If 'dataset' it must x.type=='image'. If 'double' it must be MxNxP (P can = 1).
• win = a 1 or 2 element vector of odd integers corresponding to the window width of the box filter. If scalar, (win) is set to win = [win win].

Outputs

• xf = Filtered image class 'dataset'.

Options

options = a structure array with the following fields:

• algorithm: [ {'mean'} | 'median' | 'max' | 'min' | 'meantrimmed' | 'mediantrimmed' ] governs filter method.
• ntrim: when algorithm = 'meantrimmed' or 'mediantrimmed', (ntrim) is the input (n) to the functions MEANTRIMMED or MEDIANTRIMED {default = 2}.

See Also

spatial_filter, linear_filter