Szczegóły publikacji
Opis bibliograficzny
Optimization of parameters of feed-back pulse coupled neural network applied to the segmentation of material microstructure images / Łukasz RAUCH, Łukasz SZTANGRET, Jan KUSIAK // W: Artificial Intelligence and Soft Computing : 10th International Conference, ICAISC 2010 : Zakopane, Poland, June 13–17, 2010 , Pt. 2 / eds. Leszek Rutkowski [et al.]. — Berlin ; Heidelberg : Springer-Verlag, cop. 2010. — ( Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 6114. Lecture Notes in Artificial Intelligence ). — ISBN: 978-3-642-13231-5; ISBN: 3-642-13231-6; e-ISBN: 978-3-642-13232-2. — S. 80–87. — Bibliogr. s. 86–87, Abstr.
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 52383 |
|---|---|
| Data dodania do BaDAP | 2010-06-19 |
| DOI | 10.1007/978-3-642-13232-2_11 |
| Rok publikacji | 2010 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
The paper presents application of bio-inspired optimization procedures to the problem of image segmentation of material microstructures. The method used for image processing was Feed-Back Pulse Coupled Neural Network (FBPCNN), which is very flexible in the case of highly diversified images, offering interesting results of segmentation. However, six input parameters of FBPCNN have to be adjusted dependently on image content to obtain optimal results. This was the main objective of the paper. Therefore, the procedure of image segmentation assessment was proposed on the basis of number of segments, their size, entropy and fractal dimension. The proposed evaluation was used as objective function in optimization algorithms. The results obtained for Simple Genetic Algorithms, Particle Swarm Optimization and Simulated Annealing are presented. © 2010 Springer-Verlag.
