Recognize Fabric Detects Based on Support Vector Machine

Xiao Ding Gao; Gang Wang; Zhao Ming Nie

doi:10.4028/www.scientific.net/AMR.332-334.1193

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 332-334Recognize Fabric Detects Based on Support Vector...

Recognize Fabric Detects Based on Support Vector Machine

Abstract:

Recognize Fabric Detects based on support vector machine is established for examining and classifying a variety of fabric Detects by machine. By dimensional histogram statistic method we get parameters and then put the parameters in training example set to get support vectors. The results show this method is feasible and effective.

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Periodical:

Advanced Materials Research (Volumes 332-334)

Pages:

1193-1197

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.332-334.1193

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Online since:

September 2011

Authors:

Xiao Ding Gao, Gang Wang, Zhao Ming Nie

Keywords:

Dimensional Histogram Statistic, Neural Network (NN), Support Vector Machine (SVM)

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