DocumentCode :
116261
Title :
Research on multi-parameter meter for axis parts based on parallel light
Author :
Chuande Zhou ; Li Lai ; Zhiyu Huang
Author_Institution :
Chongqing Univ. of Sci. & Technol., Chongqing, China
fYear :
2014
fDate :
18-20 Aug. 2014
Firstpage :
477
Lastpage :
481
Abstract :
Requirement on accuracy of geometrical size of axis parts is very high. By adopting traditional contact measuring methods may scratch the work piece, and it has disadvantages like high cost and low efficiency. Axis part meter of light curtain style has adopted optics non-contact measurement, so it has perfectly solved problems like this. In the paper, in-depth analysis of image de-noising principle based on partial differential equation(PDE) is introduced. By means of local adaptive ability of non-linear PDE, image filtering and edge sharpening and enhancement as well as edge extraction are realized. What´s more, linear geometrical measuring method based on edge fitting is proposed and analyzed. Finally, light curtain styled multi-parameter detection system for axis parts is introduced. Apply the proposed method into detection of axis part. The result shows that the method can accurately and effectively detect parameters like diameter of axis and parallelism degree of axis and so on.
Keywords :
automatic optical inspection; feature extraction; filtering theory; image denoising; image enhancement; partial differential equations; production engineering computing; PDE; axis parallelism degree; axis parts; contact measuring methods; edge enhancement; edge extraction; edge fitting; edge sharpening; geometrical size; image denoising principle; image filtering; light curtain style; light curtain styled multiparameter detection system; linear geometrical measuring method; multiparameter meter; optics noncontact measurement; parallel light; partial differential equation; Accuracy; Cameras; Charge coupled devices; Equations; Fitting; Image edge detection; Parallel processing; Axis Parts; Non-contact Detection; Optics Measurement; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2014 IEEE 13th International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4799-6080-4
Type :
conf
DOI :
10.1109/ICCI-CC.2014.6921502
Filename :
6921502
Link To Document :
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