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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.
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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⟩

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