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Proceedings Paper

Multilevel autoregressive models for planar shape
Author(s): Masaru Tanaka; Hiroyuki Shimai; Takio Kurita; Takaomi Shigehara
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Paper Abstract

In this paper we extend the autoregressive (AR) model to the multilevel AR model with wavelet transformation, in order to get the AR coefficients at each level as a set of shape descriptors for every level. To get the multilevel AR model, we use the wavelet transformation such as Haar wavelet to a boundary data. Then real AR and complex-AR (CAR) models are adopted to the multilevel boundary data of a shape to extract the features at each level. Furthermore we present the relation of the autocorrelation coefficients between adjacent resolution levels to elucidate the relation between AR model and wavelet transformation. Some experiments are also shown for the multilevel AR and CAR models with a certain similarity measure.

Paper Details

Date Published: 18 October 1999
PDF: 10 pages
Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); doi: 10.1117/12.365864
Show Author Affiliations
Masaru Tanaka, Electrotechnical Lab. (Japan)
Hiroyuki Shimai, Saitama Univ. (Japan)
Takio Kurita, Electrotechnical Lab. (Japan)
Takaomi Shigehara, Saitama Univ. (Japan)


Published in SPIE Proceedings Vol. 3808:
Applications of Digital Image Processing XXII
Andrew G. Tescher, Editor(s)

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