An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1
An automatic detection model adopting pattern recognition technology is proposed in this paper; it can realize the measurement to the element of nanocomposite film. The features of gray level cooccurrence matrix (GLCM) can be extracted from different types of surface morphology images of film; after...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/205817 |
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| _version_ | 1832560363435982848 |
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| author | Hai Guo Jinghua Yin Jingying Zhao Yuanyuan Liu Lei Yao Xu Xia |
| author_facet | Hai Guo Jinghua Yin Jingying Zhao Yuanyuan Liu Lei Yao Xu Xia |
| author_sort | Hai Guo |
| collection | DOAJ |
| description | An automatic detection model adopting pattern recognition technology is proposed in this paper; it can realize the measurement to the element of nanocomposite film. The features of gray level cooccurrence matrix (GLCM) can be extracted from different types of surface morphology images of film; after that, the dimension reduction of film can be handled by principal component analysis (PCA). So it is possible to identify the element of film according to the Adaboost M1 algorithm of a strong classifier with ten decision tree classifiers. The experimental result shows that this model is superior to the ones of SVM (support vector machine), NN and BayesNet. The method proposed can be widely applied to the automatic detection of not only nanocomposite film element but also other nanocomposite material elements. |
| format | Article |
| id | doaj-art-043a32c078f649bfbe2278f1aa341b95 |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-043a32c078f649bfbe2278f1aa341b952025-02-03T01:27:46ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422015-01-01201510.1155/2015/205817205817An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1Hai Guo0Jinghua Yin1Jingying Zhao2Yuanyuan Liu3Lei Yao4Xu Xia5School of Applied Science, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Applied Science, Harbin University of Science and Technology, Harbin 150080, ChinaCollege of Computer Science and Engineering, Dalian Nationalities University, 18 Liaohe West Road, Dalian Development Zone, Dalian 116600, ChinaSchool of Applied Science, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Applied Science, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Applied Science, Harbin University of Science and Technology, Harbin 150080, ChinaAn automatic detection model adopting pattern recognition technology is proposed in this paper; it can realize the measurement to the element of nanocomposite film. The features of gray level cooccurrence matrix (GLCM) can be extracted from different types of surface morphology images of film; after that, the dimension reduction of film can be handled by principal component analysis (PCA). So it is possible to identify the element of film according to the Adaboost M1 algorithm of a strong classifier with ten decision tree classifiers. The experimental result shows that this model is superior to the ones of SVM (support vector machine), NN and BayesNet. The method proposed can be widely applied to the automatic detection of not only nanocomposite film element but also other nanocomposite material elements.http://dx.doi.org/10.1155/2015/205817 |
| spellingShingle | Hai Guo Jinghua Yin Jingying Zhao Yuanyuan Liu Lei Yao Xu Xia An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1 Advances in Materials Science and Engineering |
| title | An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1 |
| title_full | An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1 |
| title_fullStr | An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1 |
| title_full_unstemmed | An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1 |
| title_short | An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1 |
| title_sort | automatic detection method of nanocomposite film element based on glcm and adaboost m1 |
| url | http://dx.doi.org/10.1155/2015/205817 |
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