Texture Detect on Rotary-Veneer Surface Based on Semi-Fuzzy Clustering Algorithm - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

Texture Detect on Rotary-Veneer Surface Based on Semi-Fuzzy Clustering Algorithm

Wei Cheng
Ping Liang

Résumé

The texture of rotary-veneer can interference in defects detection, this paper presented a modified semi-fuzzy clustering (SFC) algorithm. SFC algorithm incorporates Fisher discrimination method with fuzzy theory using fuzzy scatter matrix. By iteratively optimizing the fuzzy Fisher criterion function, the final clustering results are obtained. SFC algorithm exhibits its robustness and capability to obtain well separable clustering results. This algorithm can detect the texture and defects on rotary-veneer surface exactly.
Fichier principal
Vignette du fichier
1008--Wei_Cheng.pdf (161.82 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01055425 , version 1 (12-08-2014)

Licence

Paternité

Identifiants

Citer

Wei Cheng, Ping Liang, Suqun Cao. Texture Detect on Rotary-Veneer Surface Based on Semi-Fuzzy Clustering Algorithm. Third IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture III (CCTA), Oct 2009, Beijing, China. pp.369-374, ⟨10.1007/978-3-642-12220-0_54⟩. ⟨hal-01055425⟩
372 Consultations
76 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More