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Conference papers
Texture Detect on Rotary-Veneer Surface Based on Semi-Fuzzy Clustering Algorithm
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.
Cited literature [2 references]
https://hal.inria.fr/hal-01055425
Contributor : Hal Ifip Connect 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
Contributor : Hal Ifip Connect 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
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1008--Wei_Cheng.pdf
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