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MEAN SHIFT BASED SEGMENTATION FOR BLEEDING REGIONS IN ENDOSCOPIC VIDEOS

Abstract

With a set of 38 manually marked bleeding regions form endoscopic videos, the authors attempted to find an optimal image segmentation method for reproducing doctor’s markup. Mean shift segmentation combined with HSV histogram segmentation were used as a segmentation method, which was then optimized by tuning the parameters of the method using global optimization algorithm. A target function for measuring the quality of segmentation was proposed. The research resulted in a segmentation method for bleeding regions with similarity rate of 74% compared to the doctor’s markup.

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Details

Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:
Materiały konferencyjne ICT Young 2013 strony 167 - 172
Language:
English
Publication year:
2013
Bibliographic description:
Brzeski A., Blokus A., Cychnerski J.: MEAN SHIFT BASED SEGMENTATION FOR BLEEDING REGIONS IN ENDOSCOPIC VIDEOS// Materiały konferencyjne ICT Young 2013/ Gdańsk: , 2013, s.167-172
Verified by:
Gdańsk University of Technology

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