Computational Cortical Cell Models for Continuity and Texture

Authors:
Luís M. Santos;J. M. Hans du Buf
Affiliations:
-;-
Venue:
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Year:
2002

Citing 2
Cited 1

N-folded Symmetries by Complex Moments in Gabor Space and their Application to Unsupervised Texture Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Snakes, shapes, and gradient vector flow

IEEE Transactions on Image Processing

Improved grating and bar cell models in cortical area V1 and texture coding

Image and Vision Computing

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Abstract

Area V1 and higher areas in the visual cortex contain many feature extraction engines that serve to build a symbolic image representation. In this paper we present models of cells that complement a multiscale line and edge extraction. After reviewing a frontend that comprises Gabor filters (simple cells), bar and grating cells, we introduce a bar cell grouping for completing occluded curvilinear structures (snakes), as well as a grating cell grouping for coding periodic textures with different complexities.