DocumentCode :
2706071
Title :
Helicopter blades pyramid angle measurement based on panoramic vision technology
Author :
Jiang, Mai ; Liang, Wei ; Zhang, Xiaoling
Author_Institution :
Lab. of Ind. Control Networks & Syst., Shenyang Inst. of Autom., Shenyang, China
fYear :
2012
fDate :
6-8 June 2012
Firstpage :
470
Lastpage :
473
Abstract :
Helicopter plays an important role in the national defense industry. Helicopter blades pyramid angle is key test item in aircraft test technology. According to the previous rotor blades measurement methods, this paper proposes a new method based on panoramic vision technology. A group of inverse projection equations derived from panoramic spherical reductive algorithm for calculation of the blades height differences. The target blade real-time extraction was realized by using synchronization circuit to control the camera and the corresponding solving method on the panoramic image was studied. Image first segment adopted the pulse coupled neural network(PCNN) algorithm. The experimental results show that this method has higher accuracy and suitable for rotor blades pyramid measurement system and can be used in the future actual production process.
Keywords :
aircraft testing; angular measurement; blades; computer vision; helicopters; aircraft test technology; camera; helicopter blades pyramid angle measurement; inverse projection equations; national defense industry; panoramic image; panoramic spherical reductive algorithm; panoramic vision technology; pulse coupled neural network; rotor blades measurement; synchronization circuit; target blade real-time extraction; Blades; Equations; Helicopters; Image segmentation; Mathematical model; Measurement by laser beam; Rotors; PCNN; aircraft test technology; helicopter blades pyramid angle; inverse projection equations; panoramic vision technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2012 International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4673-2238-6
Electronic_ISBN :
978-1-4673-2236-2
Type :
conf
DOI :
10.1109/ICInfA.2012.6246852
Filename :
6246852
Link To Document :
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