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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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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