A fault information-oriented weighted nuclear norm minimization method and its application to fault feature extraction in a rolling bearing

2020 ◽  
Vol 31 (6) ◽  
pp. 065103
Author(s):  
Baoxiang Wang ◽  
Yuhe Liao ◽  
Yang Lv ◽  
Xining Zhang
2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Zhenchao Cui ◽  
Dongyu Zhang ◽  
Kuanquan Wang ◽  
Hongzhi Zhang ◽  
Naimin Li ◽  
...  

In computational tongue diagnosis, specular reflection is generally inevitable in tongue image acquisition, which has adverse impact on the feature extraction and tends to degrade the diagnosis performance. In this paper, we proposed a two-stage (i.e., the detection and inpainting pipeline) approach to address this issue: (i) by considering both highlight reflection and subreflection areas, a superpixel-based segmentation method was adopted for the detection of the specular reflection areas; (ii) by extending the weighted nuclear norm minimization (WNNM) model, a nonlocal inpainting method is proposed for specular reflection removal. Experimental results on synthetic and real images show that the proposed method is accurate in detecting the specular reflection areas and is effective in restoring tongue image with more natural texture information of tongue body.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 97919-97927
Author(s):  
Hyoseon Yang ◽  
Yunjin Park ◽  
Jungho Yoon ◽  
Byeongseon Jeong

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