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1 February 1991 Two-dimensional boundary inspection using autoregressive model
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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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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