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.
https://hal.inria.fr/hal-01055425 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Tuesday, August 12, 2014 - 6:07:19 PM Last modification on : Thursday, March 5, 2020 - 5:42:19 PM Long-term archiving on: : Wednesday, November 26, 2014 - 11:22:43 PM
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⟩