Home > SaliencyToolbox > normalizeImage.m

normalizeImage

PURPOSE ^

normalizeImage - linearly normalize an array.

SYNOPSIS ^

function res = normalizeImage(img,varargin)

DESCRIPTION ^

 normalizeImage - linearly normalize an array.

 res = normalizeImage(data);
    Linearly normalize data between 0 and 1.

 res = normalizeImage(img,range);
    Lineary normalize data between range(1) and range(2)
    instead of [0,1]. The special value range = [0 0]
    means that no normalization is performed, i.e., res = img.

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 % normalizeImage - linearly normalize an array.
0002 %
0003 % res = normalizeImage(data);
0004 %    Linearly normalize data between 0 and 1.
0005 %
0006 % res = normalizeImage(img,range);
0007 %    Lineary normalize data between range(1) and range(2)
0008 %    instead of [0,1]. The special value range = [0 0]
0009 %    means that no normalization is performed, i.e., res = img.
0010 
0011 % This file is part of the SaliencyToolbox - Copyright (C) 2006-2013
0012 % by Dirk B. Walther and the California Institute of Technology.
0013 % See the enclosed LICENSE.TXT document for the license agreement.
0014 % More information about this project is available at:
0015 % http://www.saliencytoolbox.net
0016 
0017 function res = normalizeImage(img,varargin)
0018 
0019 if (length(varargin) >= 1) range = varargin{1};
0020 else range = [0,1]; end
0021 
0022 if ((range(1) == 0) & (range(2) == 0))
0023   res = img;
0024   return;
0025 end
0026 
0027 mx = max(img(:));
0028 mn = min(img(:));
0029 
0030 if (mx == mn)
0031   res = img - mx + 0.5*sum(range);
0032 else
0033   res = (img - mn) / (mx - mn) * abs(range(2)-range(1)) + min(range);
0034 end

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