Research of obstacle recognition based on vision for high voltage transmission line Iinspection robot

Chinese Journal of Sensors and Actuators

Volumn 21, Issue 12, 2008, Pages 2092-2096

  Hu, Cai Shi ^a   Wu, Gong Ping ^a   Cao, Heng ^a   Jiang, Guo We ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Canny algorithm; Inspection robot; Obstacle recognition; Otsu algorithm; Structure constraint

Indexed keywords

EID: 62749196142     PISSN: 10041699     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. Peters J F,Ahn T C Borkowskii M. Obstacle Classification by a Line-Crawling Robot: a Rough Neurocomputing Approach [C]// Proceedings of he Third International Conference on Rough Sets and Current Trends in Computing-Lecture Notes in Artificial Intelligence. London, UK: Springer-Verlag, 2002: 594-601.
2. Chinese Source, 2006;25(9)33-39.
3. Chinese Source,2006(30)13,90-93.
4. Chinese Source, 2007,43(19).
5. LIANG Guang-ming,SUN Ji-xiang,Ma Qi.et al. An Application of Otsu Algorithm on Canny Operator[J]. Journal of National University of Defense Technology,2003,25(5) :36-39.
6. Otsu. A Threshold Election from Gray-Lever Histogram [J]. IEEE Trans on SMC,1979,9(l):62-66 .
7. Matas J, Galambos C, Kittler J. Progressive Probabilistic Hough Transform[C]// In Proceeding of British Machine Vision Conference, BMVC98. 1998:256-265.
8. Chinese Source, 2007,43(19).
9. Illingworth J,Kittler J. The Adaptive Hough Transform[J], IEEE Trans, 1987, PAMI-9, (5):690-697.
10. DA VIES E R. A Modified Hough Scheme for General Circle Location[J], Pattern Recognita988, 7(l):37-43.