In this paper we present a genetic algorithm-based optimisation technique for an automatic selecting of the thresholds in image segmentation, considering in a combined way, the parameters of the segmentation and the parameters of the pre-processing and post-processing operators. The design of a database based on the most important image’s features to generate an accurate initial population for all the needed parameters is described. The obtained performances of the designed system are then shown qualitatively.
Image segmentation using a genetic algorithm / Bevilacqua, Vitoantonio; Mastronardi, Giuseppe (ADVANCES IN SOFT COMPUTING). - In: Soft computing applications / [a cura di] A. Bonarini; F Masulli; G. Pasi. - STAMPA. - Heildelberg : Physica, 2003. - ISBN 978-3-7908-1544-3. - pp. 115-126 [10.1007/978-3-7908-1768-3_11]
Image segmentation using a genetic algorithm
Vitoantonio Bevilacqua;Giuseppe Mastronardi
2003-01-01
Abstract
In this paper we present a genetic algorithm-based optimisation technique for an automatic selecting of the thresholds in image segmentation, considering in a combined way, the parameters of the segmentation and the parameters of the pre-processing and post-processing operators. The design of a database based on the most important image’s features to generate an accurate initial population for all the needed parameters is described. The obtained performances of the designed system are then shown qualitatively.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
