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features2d(mser): chi_table.h notes
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@ -468,8 +468,7 @@ article](http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions)).
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than union-find method; it actually get 1.5~2m/s on my centrino L7200 1.2GHz laptop.
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- the color image algorithm is taken from: @cite forssen2007maximally ; it should be much slower
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than grey image method ( 3~4 times ); the chi_table.h file is taken directly from paper's source
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code which is distributed under GPL.
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than grey image method ( 3~4 times )
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- (Python) A complete example showing the use of the %MSER detector can be found at samples/python/mser.py
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*/
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@ -35,7 +35,7 @@
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* it actually get 1.5~2m/s on my centrino L7200 1.2GHz laptop.
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* 3. the color image algorithm is taken from: Maximally Stable Colour Regions for Recognition and Match;
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* it should be much slower than gray image method ( 3~4 times );
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* the chi_table.h file is taken directly from paper's source code which is distributed under GPL.
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* the chi_table.h file is taken directly from paper's source code which is distributed under permissive BSD-like license: http://users.isy.liu.se/cvl/perfo/software/chi_table.h
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* 4. though the name is *contours*, the result actually is a list of point set.
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*/
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