Title :
A neural network for perceptual grouping, based on architecture of the primary visual cortex, efficient for texture segregation in complex natural images
Author :
Anton, Jean-Luc ; Marchal, Patrick ; Burnod, Yves
Author_Institution :
Groupe des Neurosci. Computationnelles, Paris, France
Abstract :
A neural network model for perceptual grouping and texture segregation is proposed. This neural net model is based on the architectural and functional properties of the neuronal circuits in the primary visual area of the cerebral cortex. When simulated on the natural and artificial grey-level images, this neural net model is very efficient for segregating textures, even when their local characteristics are highly variable
Keywords :
image texture; neural nets; physiological models; cerebral cortex; complex natural images; grey-level images; neural network; neuronal circuits; perceptual grouping; primary visual area; primary visual cortex; texture segregation; Artificial neural networks; Brain modeling; Circuits; Computer architecture; Computer vision; Feature extraction; Filtering; Neural networks; Neurons; Psychology;
Conference_Titel :
Neural Networks, 1993., IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0999-5
DOI :
10.1109/ICNN.1993.298646
