PERCEPTUAL CURVE EXTRACTION

Baptiste Magnier (1) , Daniel Diep (1) , Philippe Montesinos (1)

1 LGI2P - Laboratoire de Génie Informatique et Ingénierie de Production

In this paper we propose a new perceptual curve detection method in images based on the difference of half rotating Gaussian filters. The novelty of this approach resides in the mixing of ideas coming both from directional filters, perceptual organization and DoG method. We obtain a new anisotropic DoG detector enabling very precise detection of perceptual curve points. Moreover, this detector performs correctly at perceptual curves even if highly bended, and is precise on perceptual junctions. This detector has been tested successfully on various image types presenting real difficult problems for classical detection methods.

Mots clés: anisotropic DoG filters; Perceptual grouping; curve extraction; ridge/valley detection; anisotropic DoG filters.

Domaines: Traitement des images [eess.IV]

Baptiste Magnier, Daniel Diep, Philippe Montesinos. PERCEPTUAL CURVE EXTRACTION. IEEE IVMSP (Image, Video, and Multidimensional Signal Processing Technical Committee) on "Perception and Visual Signal Analysis", Jun 2011, Ithaca, United States. http://www.ivmsp2011.org/. ⟨hal-00807815⟩