Various ways to normalize a (multidimensional) image.
X may have arbitrary dimension (ie an image or video, etc). X is treated
as a vector of pixel values. Hence, the mean of X is the average pixel
value, and likewise the standard deviation is the std of the pixels from
the mean pixel.
USAGE
X = imNormalize( X, flag )
INPUTS
X - n dimensional array to standardize
flag - [1] determines normalization procedure. Sets X to:
1: have zero mean and unit variance
2: range in [0,1]
3: have zero mean
4: have zero mean and unit magnitude
5: zero mean/unit variance, throws out extreme values
and also normalizes to [0,1]
OUTPUTS
X - X after normalization.
EXAMPLE
I = double(imread('cameraman.tif'));
N = imNormalize(I,1);
[mean(I(:)), std(I(:)), mean(N(:)), std(N(:))]
See also FEVALARRAYS
Piotr's Computer Vision Matlab Toolbox Version 2.0
Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com]
Licensed under the Simplified BSD License [see external/bsd.txt]