Two-dimensional boundary inspection using autoregressive model

M. Arif Wani; Bruce G. Batchelor

doi:10.1117/12.25313

1 February 1991 Two-dimensional boundary inspection using autoregressive model

M. Arif Wani, Bruce G. Batchelor

Proceedings Volume 1384, High-Speed Inspection Architectures, Barcoding, and Character Recognition; (1991) https://doi.org/10.1117/12.25313
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

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.

Citation Download Citation

M. Arif Wani and Bruce G. Batchelor "Two-dimensional boundary inspection using autoregressive model", Proc. SPIE 1384, High-Speed Inspection Architectures, Barcoding, and Character Recognition, (1 February 1991); https://doi.org/10.1117/12.25313

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