Abstract : 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.
Daoliang Li; Chunjiang Zhao. Third IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture III (CCTA), Oct 2009, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-317, pp.369-374, 2010, Computer and Computing Technologies in Agriculture III. 〈10.1007/978-3-642-12220-0_54〉
https://hal.inria.fr/hal-01055425
Contributeur : Hal Ifip
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Soumis le : mardi 12 août 2014 - 18:07:19
Dernière modification le : mardi 8 août 2017 - 17:17:18
Document(s) archivé(s) le : mercredi 26 novembre 2014 - 23:22:43
Wei Cheng, Ping Liang, Suqun Cao. Texture Detect on Rotary-Veneer Surface Based
on Semi-Fuzzy Clustering Algorithm. Daoliang Li; Chunjiang Zhao. Third IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture III (CCTA), Oct 2009, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-317, pp.369-374, 2010, Computer and Computing Technologies in Agriculture III. 〈10.1007/978-3-642-12220-0_54〉. 〈hal-01055425〉
