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Título:
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Features extraction based on the Discrete Hartley Transform for closed contour
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Autor/a:
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Martí i Puig, Pere; Reig Bolaño, Ramon; Danés Garolera, Jaume
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Otros autores:
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Universitat de Vic. Escola Politècnica Superior |
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Notas:
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In this paper the authors propose a new closed contour descriptor that could be seen as a Feature Extractor of closed
contours based on the Discrete Hartley Transform (DHT), its main characteristic is that uses only half of the coefficients required
by Elliptical Fourier Descriptors (EFD) to obtain a contour approximation with similar error measure. The proposed closed contour
descriptor provides an excellent capability of information compression useful for a great number of AI applications. Moreover
it can provide scale, position and rotation invariance, and last but not least it has the advantage that both the parameterization
and the reconstructed shape from the compressed set can be computed very efficiently by the fast Discrete Hartley Transform
(DHT) algorithm. This Feature Extractor could be useful when the application claims for reversible features and when the user
needs and easy measure of the quality for a given level of compression, scalable from low to very high quality. |
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Materia(s):
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-Imatges -- Processament |
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Derechos:
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Tots els drets reservats (c) IOS Press
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Tipo de documento:
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Artículo
info:eu-repo/publishedVersion |
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Editor:
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IOS Press
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Compartir:
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