WEI Shan-chun (卫善春), WANG Jian (王健), LIN Tao (林涛), CHEN Shan-ben (陈善本). Application of Image Morphology in
Detecting and Extracting the Initial Welding Position[J]. Journal of shanghai Jiaotong University (Science), 2012, 17(3): 323-326.
[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 patternmatch 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] Verd′u-Monedero R, Angulo J. Spatially-variant directional mathematical morphology operators basedon a diffused average squared gradient field [J]. Lecture Notes in Computer Science, 2008, 5259: 542-553.[6] Li T G, Wang S P, Zhao N. Gray-scale edge detection for gastric tumor pathologic cell images bymorphological analysis [J]. Computers in Biology and Medicine, 2009, 39: 947-952.[7] Gonzalez R C, Woods R E, Eddins S L. Digital image processing using MATLAB [M]. Beijing: PublishingHouse of Electronics Industry, 2004.[8] Verd′u-Monedero R, Angulo J, Serra J. Spatially-variant anisotropic morphological filtersdriven by gradient fields [J]. Lecture Notes in Computer Science, 2009, 5720: 115-125.