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.
Autorzy
Informacje dodatkowe
- Kategoria
- Aktywność konferencyjna
- Typ
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Język
- angielski
- Rok wydania
- 2011
