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X-Boost
2.3.8
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Implement a local maxima search algorithm. More...
#include <vector>Go to the source code of this file.
Classes | |
| struct | detail::LocalMaxima< D, FeatureListType, Param > |
| The internal NM class. More... | |
Functions | |
| template<class D , class FeatureListType , class Param > | |
| void | NonMaximaSuppression (const D *src, FeatureListType &maxima, unsigned int n, long stride, unsigned int width, unsigned int height, D threshold, Param param, int nThreads=sprint::thread::hardware_concurrency()) |
Implement a local maxima search algorithm.
| void NonMaximaSuppression | ( | const D * | src, |
| FeatureListType & | maxima, | ||
| unsigned int | n, | ||
| long | stride, | ||
| unsigned int | width, | ||
| unsigned int | height, | ||
| D | threshold, | ||
| Param | param, | ||
| int | nThreads = sprint::thread::hardware_concurrency() |
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| ) |
Non Maxima Suppression (without mask) This algorithm find local maxima of a map src of geometry width x height Two maxima cannot be near more than n and have a value less than a threshold
| src | an image (int, double, float, etc etc) |
1.8.7