Perceptual curve extraction

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.