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Proceedings Paper

Circumference imaging for optical-based identification of cylindrical and conical objects
Author(s): Martin A. Hunt; David Sitter; Regina K. Ferrell; J. Eric Breeding
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Paper Abstract

Inspection and identification of cylindrical or conical shaped objects presents a unique challenge for a machine vision system. Due to the circular nature of the objects it is difficult to image the whole object using traditional area cameras and image capture methods. This work describes a unique technique to acquire a 2D image of the entire surface circumference of a cylindrical/conical shaped object. The specific application of this method is the identification of large caliber ammunition rounds in the field as they are transported between or within vehicles. The proposed method utilizes a line scan camera in combination with high speed image acquisition and processing hardware to acquire images from multiple cameras and generate a single, geometrically accurate, surface image. The primary steps involved are the capture of multiple images as the ammunition moves by on the conveyor followed by warping to correct for the distortion induced by the curved projectile surface. The individual images are then tiled together to form one 2D image of the complete circumference. Once this image has been formed an automatic identification algorithm begins the feature extraction and classification process.

Paper Details

Date Published: 3 April 1997
PDF: 10 pages
Proc. SPIE 3028, Real-Time Imaging II, (3 April 1997); doi: 10.1117/12.270351
Show Author Affiliations
Martin A. Hunt, Oak Ridge National Lab. (United States)
David Sitter, Oak Ridge National Lab. (United States)
Regina K. Ferrell, Oak Ridge National Lab. (United States)
J. Eric Breeding, Oak Ridge National Lab. (United States)

Published in SPIE Proceedings Vol. 3028:
Real-Time Imaging II
Divyendu Sinha, Editor(s)

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