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Proceedings Paper

A position, rotation, and scale invariant image descriptor based on rays and circular paths
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Paper Abstract

In this paper a rotation, scale and translation (RST) invariant image descriptor based on 1D signatures is presented. The position invariant is obtained using the amplitude spectrum of the Fourier transform of the image. That spectrum is introduced in the analytical Fourier-Mellin transform (AFMT) to obtain the scale invariance. From the normalized AFMT amplitude spectrum two 1D signatures are constructed. To build a 1D circular signature, circular path binary masks are used to filter the spectrum image. On the other hand, ray path binary filters are utilized in the construction of the 1D ray signature. These 1D signatures are RST invariant image descriptors. The Latin alphabet letters in Arial font style were used to test the descriptor efficiency. According with the statistical analysis of bootstrap with a constant replacement B = 1000 and normal distribution, the descriptor has a confidence level at least of 95%.

Paper Details

Date Published: 22 September 2015
PDF: 8 pages
Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 95991V (22 September 2015); doi: 10.1117/12.2187258
Show Author Affiliations
Selene Solorza-Calderón, Univ. Autónoma de Baja California (Mexico)


Published in SPIE Proceedings Vol. 9599:
Applications of Digital Image Processing XXXVIII
Andrew G. Tescher, Editor(s)

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