generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

added computeNMChannels helper function to compute the diferent channels to be processed independently in the N&M algorithm.

Browse Source
This commit is contained in:
lluis
2013-09-09 11:37:58 +02:00
parent 77a2529eb7
commit e8d3732aaf
2 changed files with 139 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

23
modules/objdetect/include/opencv2/objdetect/erfilter.hpp
View File

@@ -193,5 +193,28 @@ CV_EXPORTS Ptr<ERFilter> createERFilterNM1(const Ptr<ERFilter::Callback>& cb = P
CV_EXPORTS Ptr<ERFilter> createERFilterNM2(const Ptr<ERFilter::Callback>& cb = Ptr<ERFilter::Callback>(),
float minProbability = 0.3);
// computeNMChannels operation modes
enum { ERFILTER_NM_RGBLGrad = 0,
ERFILTER_NM_IHSGrad = 1
};
/*!
Compute the different channels to be processed independently in the N&M algorithm
Neumann L., Matas J.: Real-Time Scene Text Localization and Recognition, CVPR 2012
In N&M algorithm, the combination of intensity (I), hue (H), saturation (S), and gradient
magnitude channels (Grad) are used in order to obtain high localization recall.
This implementation also provides an alternative combination of red (R), green (G), blue (B),
lightness (L), and gradient magnitude (Grad).
\param _src Source image. Must be RGB CV_8UC3.
\param _channels Output vector<Mat> where computed channels are stored.
\param _mode Mode of operation. Currently the only available options are
ERFILTER_NM_RGBLGrad (by default) and ERFILTER_NM_IHSGrad.
*/
CV_EXPORTS void computeNMChannels(InputArray _src, OutputArrayOfArrays _channels, int _mode = ERFILTER_NM_RGBLGrad);
}
#endif // _OPENCV_ERFILTER_HPP_