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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Evaluation o image matching techniques for optical fiber specklegram sensor analysis

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Author(s):
Fujiwara, Eric [1] ; Ri, Yoshi [2] ; Wu, Yu Tzu [1] ; Fujimoto, Hiroshi [2] ; Suzuki, Carlos Kenichi [1]
Total Authors: 5
Affiliation:
[1] Univ Estadual Campinas, Sch Mech Engn, Lab Photon Mat & Devices, 200 R Mendeleyev, BR-13083860 Campinas, SP - Brazil
[2] Univ Tokyo, Grad Sch Engn, Dept Elect Engn, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1138656 - Japan
Total Affiliations: 2
Document type: Journal article
Source: APPLIED OPTICS; v. 57, n. 33, p. 9845-9854, NOV 20 2018.
Web of Science Citations: 2
Abstract

A quantitative study of image matching techniques applied to fiber specklegram sensor analysis is presented. The fiber status is modulated by a microbending transducer, so the output speckle field can be correlated to the input displacements. Once acquired and preprocessed, the specklegrams' variations were evaluated according to seven approaches. Although the average intensity did not provide reliable information per se, the correlation and sum of differences methods yielded similar to 11 mm(-1) and similar to 14 mm(-1) sensitivities, respectively, within a similar to 0.06 mm range and low linearity and hysteresis errors, with enhancement possibility by intensity level cancellation. Moreover, the phase-only correlation and the mutual information metrics provided very high sensitivities (22 mm(-1) and 120 mm(-1), respectively) for a <0.02 mm range, making these techniques suitable for detecting subtle variations in the fiber status due to physical or chemical stimuli. (C) 2018 Optical Society of America (AU)

FAPESP's process: 17/25666-2 - Development of an optical fiber force myography sensor for applications in human-robot interfaces
Grantee:Eric Fujiwara
Support type: Regular Research Grants