Application of image morphology in detecting and extracting the initial welding position
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s12204-012-1278-9.pdf
Reference8 articles.
1. Tarn T J, Chen S B, Zhou C J. Robotic welding, intelligence and automation [M]. Berlin: Springer-Verlag, 2010.
2. Zhu Z Y, Lin T, Piao Y J, et al. Recognition of the initial position of weld based on the image pattern match technology for welding robot [J]. International Journal of Advanced Manufacturing Technology, 2005, 26: 784–788.
3. Mukhopashyay S, Chanda B. An edge preserving noise smoothing technique using multi-scale morphology [J]. Signal Processing, 2002, 82(4): 527–544.
4. Zhang L J, Xu J W, Yang J H, et al. Multiscale morphology analysis and its application to fault diagnosis [J]. Mechanical Systems and Signal Processing, 2008, 22: 597–610.
5. Verdú-Monedero R, Angulo J. Spatially-variant directional mathematical morphology operators based on a diffused average squared gradient field [J]. Lecture Notes in Computer Science, 2008, 5259: 542–553.
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