4 April 2001 Comparison of unwrapped image quality and acquisition speed from forward-looking and side-looking modes of the TCTBIS
Author Affiliations +
A True Color Tube Bore Inspection System (TCTBIS) has been developed to aid in the visual nondestructive examination of the inside of small diameter tubes. The instrument was developed to inspect for the presence of contaminants and discoloration inside the tube. The tubes, which have a 1.5 - 1.7 millimeter inside diameter, are integrally attached to pressure vessels that are filled to high pressure through the tubes. The latest version of the TCTBIS can operate in two modes. In the forward-looking mode a borescope is used to look down the length of the tube. In the side-looking mode, a tube containing a 45 degree(s) mirror is placed over the forward-looking borescope so that a direct view of the sidewall of the tube can be seen. The work reported here is a comparison of the relative performance of these two operating modes in terms of image quality and data acquisition speed. Each mode uses an entirely different method of image acquisition and unwrapped image reconstruction. These methods along with comparison results and suggestions for improvements will be discussed in detail.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Larry J. Harpring, Larry J. Harpring, Martin J. Pechersky, Martin J. Pechersky, } "Comparison of unwrapped image quality and acquisition speed from forward-looking and side-looking modes of the TCTBIS", Proc. SPIE 4301, Machine Vision Applications in Industrial Inspection IX, (4 April 2001); doi: 10.1117/12.420900; https://doi.org/10.1117/12.420900


Novel methods for inspection of damage on airframes
Proceedings of SPIE (January 01 1900)
Image processing for automated visual surface inspection
Proceedings of SPIE (September 24 1997)
Software SKIPSM implementation for template matching
Proceedings of SPIE (February 11 2001)
Surface Texture Measurement By Computer Vision
Proceedings of SPIE (November 24 1986)

Back to Top