parraysnorm

Performs normalization between 0 and 1 of items of several arrays.

Synopsis

parraysnorm name [col_in|-] [col_out|-]

Description

parraysnorm creates the collection col_out with normalized versions of arrays of the input collection col_in name.1, name.2, ..., name.n. Arrays in the output collection are converted to Double, and each item has been divided by the maximum value of the related type in the input arrays. For example, each item of Uchar array is divided by 255. The result values are between 0 and 1 for unsigned type or between -1 and 1 for signed type.

Parameters

name is the base name of the arrays to be normalized (name.1, name.2, ..). It is string without blank character.

Inputs

col_in: a collection.

Outputs

col_out: a collection.

Result

Returns SUCCESS or FAILURE.

Examples

Segments the tangram.pan image thanks to a k-means classification of the pixels based on mean and variance features:

   pmeanfiltering 1 tangram.pan moy.pan
   pvariancefilter 0 255 tangram.pan var.pan

   pim2array data.1 moy.pan data1.colc
   pim2array data.2 var.pan data2.colc
   parray2array data.1 Float data1.colc data1.cold
   parray2array data.2 Float data2.colc data2.cold
   pcolcatenateitem data1.cold data2.cold data3.cold
   parraysnorm data data3.cold data3.cold

   pkmeans data attrib 5 100 data3.cold cluster.cold

   pproperty 0 tangram.pan
   w=`pstatus`
   pproperty 1 tangram.pan
   h=`pstatus`

   parray2im $h $w 0 attrib cluster.Cold kmeans.pan
   pim2rg kmeans.pan classif1_out.pan

C++ prototype

Errc PArraysNorm( Collection &col_in_out, const std::string &name );

Version française

Normalisation des valeurs de plusieurs vecteurs entre 0 et 1.

Author: Alexandre Duret-Lutz