PartsNet
Author:
Affiliation:
1. Department of Control Science and Engineering, HIT, Harbin, China
2. State Key Laboratory of advanced welding and joining, Harbin Institute of Technology, Harbin, China
Publisher
ACM Press
Reference23 articles.
1. Ng H F. Automatic thresholding for defect detection[J]. Pattern Recognition Letters, 2004, 27(14): 1644--1649.
2. Jian C X, Gao J, Ao Y H: Automatic surface defect detection for mobile phone screen glass based on machine vision[J]. Applied Soft Computing, 2017, 52: 348--358.
3. Fu G, Hojjat S A, Colchester A C F. Detection of Objects by Integrating Watersheds and Critical Point Analysis[M]. Medical Image Computing and Computer-Assisted Intervention-MICCAI 2003. Springer Berlin Heidelberg, 2003:109--116.
4. Yang X, Qi D, Li X. Multi-scale Edge Detection of Wood Defect Images Based on the Dyadic Wavelet Transform[C]. International Conference on Machine Vision and Human-Machine Interface, IEEE, 2010: 120--123.
5. Ngan H Y T, Pang G K H, Yung N H C. Automated fabric defect detection---A review[J]. Image and Vision Computing, 2011, 29(7): 442--458.
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