| Autor: |
LI ZhiNong, WU WeiXiao |
| Jazyk: |
čínština |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Jixie qiangdu, Vol 41, Pp 840-844 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
1001-9669 |
| DOI: |
10.16579/j.issn.1001.9669.2019.04.012 |
| Popis: |
The empirical ridgelet transform has the ability of direction selectivity and adaptive decomposition. 2 DPCA can directly use the original image toconstruct the covariance matrix. Combined with the advantages of Empirical ridgelet transform and 2 DPCA, anidentification method ofmetal fracture based onempirical ridgelet-2 DPCA. At the same time, the proposed method is compared with the Ridgelet-2 DPCA, Ridgelet-PCA recognition method. The experimental results show that the bidimensional intrinsic mode Function（BIMF） component has more abundant feature information than ridgelet coefficient. 2 DPCA has more complete image structure informationthan PCA. Therefore, the proposed empirical Ridgelet-2 DPCA has achieved better recognition effect than experience Ridgelet-PCA and Ridgelet-2 DPCA recognition method. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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