Recognition method of metal fracture images based on Wavelet kurtosis and Relevance vector machine

Recognition method of metal fracture images based on Wavelet kurtosis and Relevance vector machine

The useful information extracted from fracture images is the most fundamental problem of quantitative analysis and intelligent diagnosis of metal fracture. The pattern recognition or classification is the critical issue of failure analysis of metal fracture. In this paper, combining wavelet transfor...

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Bibliographic Details
Main Authors: Sun Yi, Li Zhinong, Yan Jingwen
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Subjects:
Wavelet transform
Kurtosis
Relevance vector machine (RVM)
Feature extraction
Pattern recognition
Metal fracture
Wavelet entropy
Support vector machine (SVM)
Online Access:http://dx.doi.org/10.1051/matecconf/20163902004

Internet

http://dx.doi.org/10.1051/matecconf/20163902004

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