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Title: Line-end Detection and Boundary Gap Completion in an EDANN Module for Orientation
Authors: Van Hulle, Marc
Tollenaere, T.
Orban, Guy #
Issue Date: 1991
Host Document: Proceedings vol:2 pages:1409-1414
Conference: International Joint Conference on Neural Networks location:Singapore date:18-21 November 1991
Abstract: Explores two sources of inaccuracies originating from the use of local line detectors for inferring curve and boundary traces: (1) due to the position uncertainty of the local line detectors, ends of thin lines are not easily detected, even if cross-orientation inhibition is applied; and (2) due to the limited ability of the local line detectors to assess more global trace information gaps appear in the curve and boundary extracted. It is shown how a single EDANN (entropy drive artificial neural networks) module processing the orientation of illumination contrast compensates for these inaccuracies by performing a two-stage detection process, a competitive and a cooperative one. In the competitive stage, a vector field of tangents to curves and boundaries is extracted by using elongated receptive fields. In the cooperative stage, line-ends are extracted and boundary gaps are bridged by broadening the neuron's orientation tuning curves
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Research Group Neurophysiology
# (joint) last author

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