Comparative Frameworks for Directional Primitive Extraction
This paper introduces two alternative computational frameworks for the extraction of the directional primitives present in an image. Both frameworks are divided into three stages: low level primitive extraction, organisation of low level primitives by means of dynamical neural networks (growing cell structures) and segment extraction through a pseudo-colour Hough transform. The alternative frameworks are compared and their relative advantages and disadvantages are outlined.
KeywordsDirectional primitives Gabor wavelets Sobel filter auto-organised structures growing cell structures chromaticity diagram
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- 4.Gabor, B.: Theory of communication. Journal of the Institute of Electronic Engineers 36(93), 429–457 (1946)Google Scholar
- 5.Lowe, D.G.: Perceptual Organization and Visual Recognition. Kluwer Academic Publishers, Dordrecht (1985)Google Scholar
- 8.Wyszecki, G., Stiles, W.S.: Color science, concept and methods, quantitative data and formulae. John Wiley & sons, Chichester (1982)Google Scholar