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