DocumentCode :
3228252
Title :
The design of DSP-based corner detection for power line inspection robot
Author :
Zuo, Qi ; Guo, Zijian ; Sun, Dehui ; De Xu
Author_Institution :
Field Bus Tech & Autom. Key Lab., North China Univ. of Technol., Beijing, China
fYear :
2009
fDate :
25-28 July 2009
Firstpage :
763
Lastpage :
766
Abstract :
Aiming at the requirement of power line inspection robot, this paper develops and builds a vision system depending upon the TMS320DM642 as the core, which can realize the image collection and display, implement the image features extraction. Through the extended UART interfaces, this system can communicate with the control unit of Power Line Inspection Robot. Corner coordinates obtained from the algorithm of this system can be used for extraction and matching of the image feature points, motion estimation, three-dimensional reconstruction, etc. Compared to the traditional vision system based on image capturing cards and PC platforms, it has the advantages of small size, favourable real-time properties, low power consumption, etc. Experiment results indicate that the precision and speed of corner extraction are both better than those of the traditional PC platforms.
Keywords :
automatic optical inspection; digital signal processing chips; edge detection; feature extraction; image matching; power cables; robot vision; DSP-based corner detection; TMS320DM642; extended UART interfaces; image capturing cards; image collection; image features extraction; motion estimation; power line inspection robot; three-dimensional reconstruction; vision system; Control systems; Displays; Feature extraction; Image reconstruction; Inspection; Machine vision; Motion estimation; Real time systems; Robot kinematics; Robot vision systems; Corner detector; DM642; harris algorithm; power line inspection robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-3520-3
Electronic_ISBN :
978-1-4244-3521-0
Type :
conf
DOI :
10.1109/ICCSE.2009.5228133
Filename :
5228133
Link To Document :
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