Development and approbation of procedure for automated localization of fiber optic connector contaminated ferrule end face image artifacts

Anton V. Bourdine; Stanislav S. Pashin; Alina M. Giniatulina; Alexander A. Vasilets; Stanislav A. Antonov

doi:10.1117/12.2527547

24 June 2019 Development and approbation of procedure for automated localization of fiber optic connector contaminated ferrule end face image artifacts

Anton V. Bourdine, Stanislav S. Pashin, Alina M. Giniatulina, Alexander A. Vasilets , Stanislav A. Antonov

Author Affiliations +

Proceedings Volume 11146, Optical Technologies for Telecommunications 2018; 111461N (2019) https://doi.org/10.1117/12.2527547
Event: XVI International Scientific and Technical Conference on Optical Technologies in Telecommunications, 2018, Ufa, Russian Federation

Abstract

This work presents an alternative method implemented in software procedure for automated localization of fiber optic connector contaminated ferrule end face image artifacts. Here the main problem is concerned with detection and removing the aureoles of core/cladding and cladding/ferrule boundaries without impact on pixels of contamination particles. We considered typical end face images measured by commercially available fiber optic video probe kit containing video microscope and software, which provides ferrule end-face quality inspection "PASS/FAIL" according to ratified standard IEC 61300-3-35 that is a global common set of quality requirements for the surface of ferrule fiber optic connectors. After removing artifacts, modified image may be utilized for the following estimation of the predicted value of insertion loss. We also present some results of proposed procedure approbation for various order contaminated ferrule end face images.

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Anton V. Bourdine, Stanislav S. Pashin, Alina M. Giniatulina, Alexander A. Vasilets , and Stanislav A. Antonov "Development and approbation of procedure for automated localization of fiber optic connector contaminated ferrule end face image artifacts", Proc. SPIE 11146, Optical Technologies for Telecommunications 2018, 111461N (24 June 2019); https://doi.org/10.1117/12.2527547

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