iLab Neuromorphic Robotics Toolkit  0.1
Image Statistics

Functions for computing statistics on Image objects

See also:
Image macros to facilitate promotion of pixel types

Functions

template<class PixType >
Point2D< int > nrt::findMaxLocation (Image< PixType > const &src)
 Find the maximum location in the image.
template<class PixType >
Point2D< int > nrt::findMinLocation (Image< PixType > const &src)
 Find the minimum location in the image.
template<NRT_MACRO_PROMOTE_PIX(double) >
DestType const nrt::mean (Image< PixType > const &im)
 Get the average of all input pixels.
template<NRT_MACRO_PROMOTE_PIX(double) >
DestType const nrt::stdev (Image< PixType > const &im)
 Compute standard deviation of pixel values over image.
template<NRT_MACRO_PROMOTE_PIX(double) >
DestType const nrt::variance (Image< PixType > const &im)
 Compute variance of pixel values over image.
template<NRT_MACRO_PROMOTE_PIX(double) >
DestType const nrt::sum (Image< PixType > const &im)
 Returns the sum of all input pixels.
template<class promo = float, class T >
nrt::promote< T, promo >::type
const 
nrt::normalizedCrossCorrelation (Image< nrt::PixGray< T > > const &im1, Image< nrt::PixGray< T > > const &im2)
 Returns the normalized cross-correlation between two images of same dims, images should have zero mean.
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