Machine vision quantification of internal S-distortion in fused fiber optics

RoseAnn S. Brown; Michael D. Crocker; Peter T. Stevens

doi:10.1117/12.19478

1 July 1990 Machine vision quantification of internal S-distortion in fused fiber optics

RoseAnn S. Brown, Michael D. Crocker, Peter T. Stevens

Proceedings Volume 1243, Electron Image Tubes and Image Intensifiers; (1990) https://doi.org/10.1117/12.19478
Event: Electronic Imaging: Advanced Devices and Systems, 1990, Santa Clara, CA, United States

Abstract

The use of machine vision equipment to quantify internal optical aberrations has recently proven to be effective for the inspection of fused fiberoptic components . The fundamental benefits of this approach to dimensional inspection are improved accuracy , repeatability and speed , in conjunction with automatic data collection and statistical analysis . Recently revised specifications and supporting calculations governing the optical distortion limits of an imaged straight line across an 18mm clear aperture of a fiberoptic component have made the current measurement method using an optical comparator both cumbersome and unreliable. Requirements for inspection and certification of the maximum deviation , warranting measurement on nunrous axes across the optic , further illustrate the benefits of the vision inspection system. This discussion will concentrate on vision equinent , optical techniques and referenced patterns incorporated in the measurement of S-distortion to the new specifications in fused fiberoptic inverters.

Citation Download Citation

RoseAnn S. Brown, Michael D. Crocker, and Peter T. Stevens "Machine vision quantification of internal S-distortion in fused fiber optics", Proc. SPIE 1243, Electron Image Tubes and Image Intensifiers, (1 July 1990); https://doi.org/10.1117/12.19478

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available