THIS IS DOCUMENTATION FOR AN OBSOLETE PRODUCT.
SEE THE DOCUMENTATION CENTER FOR THE LATEST INFORMATION.

DOCUMENTATION CENTER SEARCH

BUILT-IN MATHEMATICA SYMBOL

CommonestFilter

transforms image by replacing each pixel with the most common pixel value in its range r neighborhood.

applies commonest filtering to an array of data.

For multichannel images, CommonestFilter computes the commonest of the set of pixel vectors.

In CommonestFilter, 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]=

Commonest filtering applied to arbitrary expressions:

Majority filtering removes noise from a binary image:

Commonest filtering applied to random noise: