An iterative model for contrast detection, which accounts for the contrast invariance of orientation preference, has been recently suggested [16]. The work here extends the iterative model by incorporating a cross-oriented suppression of simple cells in the primary visual cortex (V1). The modified model has a better performance in terms of robustness to noise, generates sharper edge responses while suppressing weak edges, and converges faster on equilibrium. The model exhibits a higher level of contrast invariance of orientation preference generating a clear pattern of edges in natural images. © Springer-Verlag 2003.
CITATION STYLE
Kolesnik, M., & Barlit, A. (2003). Iterative orientation tuning in V1: A simple cell circuit with cross-orientation suppression. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2749, 232–238. https://doi.org/10.1007/3-540-45103-x_32
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