pvariancefiltering

Performs variance filtering on image.

Synopsis

pvariancefiltering low high [-m mask] [im_in|-] [im_out|-]

Description

pvariancefiltering applies a variance filter to the input image im_in. Each pixel of the input image is replaced by the variance of its neighbors (8 connexity in 2D or 26 connexity in 3D) if the input pixel value is between the two specified thresholds. Otherwise the output pixel is set to 0.

Parameters

low and high specify the low and the high threshold values for the acceptable input values.

Inputs

im_in: a grayscale image.

Outputs

im_out: a grayscale image of reals (Img2dsf or Img3dsf).

Result

Returns SUCCESS or FAILURE.

Examples

Filters the tangram.pan:

   pvariancefiltering 0 255 tangram.pan a.pan

C++ prototype

Errc PVarianceFiltering( const Img2duc &im_in, Img2duc &im_out, Uchar low, Uchar high );

Version française

Filtrage d'une image par variance.

Author: François Angot