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Proceedings Paper

Two-dimensional boundary inspection using autoregressive model
Author(s): M. Arif Wani; Bruce G. Batchelor
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Paper Abstract

In this paper a new procedure is presented which extracts two dimensional " time" series data containing maximum information about a closed boundary. The " time" series data is used for estimation of autoregressive model parameters. The extracted data makes autoregressive parameters to lie in closer space partitions. The use of two dimensional data overcomes the limitation of loss of phase information faced in one dimensional autoregressive models. A bivanate circular autoregressive model is used to represent the closed boundary data. The parameter extraction of the model is camed out by residual method which produces a stationary estimation. The model parameters are invariant to rotation translation scaling and choice of starting point on the boundary. The maximum information about the closed boundary and model parameters invariant to said transformations makes the procedure effective for inspection of planar objects.

Paper Details

Date Published: 1 February 1991
PDF: 7 pages
Proc. SPIE 1384, High-Speed Inspection Architectures, Barcoding, and Character Recognition, (1 February 1991); doi: 10.1117/12.25313
Show Author Affiliations
M. Arif Wani, Univ. of Wales College of Cardiff (United Kingdom)
Bruce G. Batchelor, Univ. of Wales College of Cardiff (United Kingdom)

Published in SPIE Proceedings Vol. 1384:
High-Speed Inspection Architectures, Barcoding, and Character Recognition
Michael J. W. Chen, Editor(s)

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