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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Communication dans un congrès
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〉
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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〉

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