Adaptive mathematical morphology for edge linking
Information Sciences—Informatics and Computer Science: An International Journal
Using Line Segments as Structuring Elements for Sampling-Invariant Measurements
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Cortical Based Model of Perceptual Completion in the Roto-Translation Space
Journal of Mathematical Imaging and Vision
Theoretical Foundations of Spatially-Variant Mathematical Morphology Part I: Binary Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Visual system based on artificial retina for motion detection
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Cyclic mathematical morphology in polar-logarithmic representation
IEEE Transactions on Image Processing
A digital retina-like low-level vision processor
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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The V1-region of the primary visual cortex performs contour integration in the early mammalian visual system. The geometry of the neural connections of the V1-region has been mathematically described as a roto-translational continuous space. In this work, a bio-inspired methodology for processing 2D images based on the V1-region neurogeometrical structure is proposed. The input image is first transformed into the 3D roto-translational space. Then spatially-variant mathematical morphology operators using helicoidal structuring elements are applied in order to mimic the neural processing in the primary visual cortex. Finally, the output is projected back to the 2D cartesian space. Some illustrative straightforward applications of this methodology are presented for contour-completion and object-occlusion 2D problems.