Abstract
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.
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References
Carreira, M.J., Mirmehdi, M., Thomas, B.T., Penas, M.: Perceptual primitives from an extended 4D Hough transform. Image and Vision Computing 20(13-14), 969–980 (2002)
Van Deemter, J., Du Buf, J.: Simultaneous detection of lines and edges using compound Gabor filters. Journal of Pattern Recognition and Artificial Intelligence 14(4), 757–777 (2000)
Fritzke, B.: Growing cell structures - a self-organizing network for unsupervised and supervised learning. Neural Networks 7(9), 1441–1460 (1994)
Gabor, B.: Theory of communication. Journal of the Institute of Electronic Engineers 36(93), 429–457 (1946)
Lowe, D.G.: Perceptual Organization and Visual Recognition. Kluwer Academic Publishers, Dordrecht (1985)
Penas, M., Carreira, M.J., Penedo, M.G.: Auto-organised structures for extraction of perceptual primitives. In: Mira, J., Prieto, A.G. (eds.) IWANN 2001. LNCS, vol. 2085, pp. 628–636. Springer, Heidelberg (2001)
Penas, M., Carreira, M.J., Penedo, M.G.: Perceptual organization of directional primitives using a pseudo-color Hough transform. In: Bigun, J., Gustavsson, T. (eds.) SCIA 2003. LNCS, vol. 2749, pp. 893–898. Springer, Heidelberg (2003)
Wyszecki, G., Stiles, W.S.: Color science, concept and methods, quantitative data and formulae. John Wiley & sons, Chichester (1982)
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Penas, M., Carreira, M.J., Penedo, M.G., Mirmehdi, M., Thomas, B.T. (2004). Comparative Frameworks for Directional Primitive Extraction. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30125-7_27
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DOI: https://doi.org/10.1007/978-3-540-30125-7_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23223-0
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