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iLab Neuromorphic Robotics Toolkit
0.1
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Functions for computing statistics on Image objects
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. | |