This is documentation for Mathematica 7, which was
based on an earlier version of the Wolfram Language.

CommonestFilter

 CommonestFilter[image, r] transforms image by replacing each pixel with the most common pixel value in its range r neighborhood. CommonestFilter[data, r]applies commonest filtering to an array of data.
• CommonestFilter[image, r] computes the commonest value in (2r+1)×(2r+1) blocks centered on each pixel.
• CommonestFilter[image, {r1, r2}] uses neighborhoods with vertical range r1 and horizontal range r2.
• In CommonestFilter[data, ...], data can be an array of any rank, and can contain symbolic as well as numerical entries.
Replacing each pixel with the most common color in its neighborhood creates a posterization effect:
Apply commonest filtering to a vector of numbers:
Replacing each pixel with the most common color in its neighborhood creates a posterization effect:
 Out[1]=

Apply commonest filtering to a vector of numbers:
 Out[1]=
 Scope   (1)
Commonest filtering applied to arbitrary expressions:
 Applications   (1)
Majority filtering removes noise from a binary image:
Commonest filtering applied to random noise:
New in 7