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Abstract
In this paper, a procedure of automatic set up of image recognition algorithms' parameters is proposed, for the purpose of reducing the time needed for algorithms' development. The procedure is presented on two medicine supporting algorithms, performing bleeding detection in endoscopic images. Since the algorithms contain multiple parameters which must be specified, empirical testing is usually required to optimise the algorithm's efficiency, which is time-consuming and therefore costly. To approach this problem, the parameters were transformed into a solution space, which was later searched using various local and global optimization methods. After the optimization was performed, the achieved efficiency rates were compared to the empirically established values, showing similar effects, and therefore successfulness of the automatic parameters optimization.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- Proceedings of the 5th International conference of Young Scientists : Computer Science & Engineering 2011, Lviv, Ukraine 24-26 November 2011 strony 142 - 145
- Language:
- English
- Publication year:
- 2011
- Bibliographic description:
- Brzeski A.: Parameters optimization in medicine supporting image recognition algorithms// Proceedings of the 5th International conference of Young Scientists : Computer Science & Engineering 2011, Lviv, Ukraine 24-26 November 2011/ ed. O. Berezko. - Lviv Polytechnic National University. Lviv: Publishing House of Lviv Polytechnic National University, 2011, s.142-145
- Verified by:
- Gdańsk University of Technology
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