Paper
17 July 2015 A flexible image fiber probe based speckle imaging for extraction of surface features with possible application in intra-cavity inspection
Author Affiliations +
Proceedings Volume 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015); 95242Q (2015) https://doi.org/10.1117/12.2190498
Event: International Conference on Optical and Photonic Engineering (icOPEN2015), 2015, Singapore, Singapore
Abstract
Non-destructive inspection and non-invasive interrogation of surface features has always been a subject of discussion owing to the rapid advances in engineering and medical fields. Measurement of surface features which are miniature in size, inaccessible and of complex shape, has always posed challenges to conventional types of imaging and metrological systems. This paper, presents a methodology and a miniature image fiber probe configuration based on speckle technology for imaging such surface features, with possible application in intra cavity inspection. In the present work, a metal pipe is used as a test sample representing an engineering cavity. The acquired images of the intra cavity were subjected to image processing for contouring and size estimation. An analysis on the variation in the average speckle intensity, when the speckle image passes through an image fiber, is also carried out in this work. The obtained results indicate that the proposed probe configuration and related methodology can be used for inspection of cavity features and profiles of diffusive surfaces.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guru Prasad A. S., Murukeshan V. Matham, and Kelvin H. K. Chan "A flexible image fiber probe based speckle imaging for extraction of surface features with possible application in intra-cavity inspection", Proc. SPIE 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015), 95242Q (17 July 2015); https://doi.org/10.1117/12.2190498
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Speckle

Inspection

Surface roughness

Image processing

Speckle pattern

Metrology

Feature extraction

Back to Top