Comparison of alternative frameworks for directional primitive extraction

TítuloComparison of alternative frameworks for directional primitive extraction
AutoresM. Penas, M.J. Carreira, M.G. Penedo, N. Barreira
TipoArtículo de revista
Fonte Pattern Recognition and Image Analysis, SPRINGER, Vol. 17, No. 4, pp. 439-449 , 2006.
ISSN1054-6618
DOI10.1134/S1054661807040013
AbstractThis paper describes and compares three alternative computational frameworks for the extraction of the directional primitives present in an image. These frameworks are based on Gabor decomposition, Sobel filtering, and filtering through the first derivative of a Gaussian filter, respectively. They are divided into two stages: low-level primitive extraction and organization of low-level primitives by means of dynamical neural networks. These alternative frameworks are compared and their relative advantages and disadvantages are outlined.
Palabras chaveGabor filters, perceptual grouping, directional primitives

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