Abstract
We consider a differential model describing neuro-physiologi-cal contrast perception phenomena induced by surrounding orientations. The mathematical formulation relies on a cortical-inspired modelling [11] largely used over the last years to describe neuron interactions in the primary visual cortex (V1) and applied to several image processing problems [14, 15, 21]. Our model connects to Wilson-Cowan-type equations [26] and it is analogous to the one used in [3, 4, 16] to describe assimilation and contrast phenomena, the main novelty being its explicit dependence on local image orientation. To confirm the validity of the model, we report some numerical tests showing its ability to explain orientation-dependent phenomena (such as grating induction) and geometric-optical illusions [18, 24] classically explained only by filtering-based techniques [7, 20].
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- 1.
For our comparisons we used the ODOG and BIWaM codes freely available at https://github.com/TUBvision/betz2015_noise.
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Bertalmío, M., Calatroni, L., Franceschi, V., Franceschiello, B., Prandi, D. (2019). A Cortical-Inspired Model for Orientation-Dependent Contrast Perception: A Link with Wilson-Cowan Equations. In: Lellmann, J., Burger, M., Modersitzki, J. (eds) Scale Space and Variational Methods in Computer Vision. SSVM 2019. Lecture Notes in Computer Science(), vol 11603. Springer, Cham. https://doi.org/10.1007/978-3-030-22368-7_37
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