Image Measurement of Fiber Localizer Based on Energy Distributing

Ying Yao; Xin Yu Tian; Bao Ku Feng

doi:10.4028/www.scientific.net/AMR.1023.168

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1023Image Measurement of Fiber Localizer Based on...

Image Measurement of Fiber Localizer Based on Energy Distributing

Abstract:

According to the features of optical quartz groove fiber localizer image, a precise measurement method for detecting the geometry character based on Hough transform was proposed. After energy field edges being detected, geometry element equations of circularity and lines were obtained by improved Hough transform, then the accurate geometry characters such as the position of points of intersection were obtained. The experiment results show that this method can be applied to other geometry character detection problems in noised image , and the algorithm is efficient and robust.

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Periodical:

Advanced Materials Research (Volume 1023)

Pages:

168-171

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1023.168

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Online since:

August 2014

Authors:

Ying Yao*, Xin Yu Tian, Bao Ku Feng

Keywords:

Edge Detecting, Energy Distributing, Hough Transform, Quartz Groove Fiber Localizer

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References

[1] Ying Yao, Luping Xu, Qiang Fang. The geometry character detecting method based on energy field edges detected and improved Hough transform[J], Journal of Xi'An university of post and telecommunications, 2007, 12(1), pp.94-97.

Google Scholar

[2] L Xu , E Oja , P Kultanen. A new curve detection method : Randomized hough transform[J ] , Pattern Recognition Letters, 1990, 11 , pp.331-338.

DOI: 10.1016/0167-8655(90)90042-z

Google Scholar

[3] R Cucchiara, F Filicori . The vector-gradient hough transform [J], IEEE Trans. Pattern Analysis and Machine Intelligence, 1998, 20 (7) , pp.746-750.

DOI: 10.1109/34.689304

Google Scholar

[4] TM Van Veen , F C A Groen. Discretization errors in the hough transform [J] , Pattern Recognition, 1981, 14 , pp.137-145.

DOI: 10.1016/0031-3203(81)90055-8

Google Scholar

[5] J Illingworth , J Kittler. A survey of hough transform [J ] . Computer Vision Graphics Image Processing, 1988 , 44, pp.87-116.

DOI: 10.1016/s0734-189x(88)80033-1

Google Scholar

[6] J Illingworth, J Kittler. The adaptive hough transform [J]. IEEE Trans Pattern Analysis and Machine Intelligence, 1987, 9 (5), pp.690-697.

DOI: 10.1109/tpami.1987.4767964

Google Scholar