Contour detection based on nonclassical receptive field inhibition
IEEE Transactions on Image Processing
Contour detection based on contextual influences
Image and Vision Computing
Multilayer and multipathway simulation on retina
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Extraction of salient contours via excitatory-inhibitory interactions in the visual cortex
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Main Retina Information Processing Pathways Modeling
International Journal of Cognitive Informatics and Natural Intelligence
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In this paper, we construct a neural network structure to model the mechanisms of visual perception for salient contour - for some stimulus conditions, the response of a visual central stimulus is suppressed and for other conditions the response is enhanced. The proposed method which distinguishes between contours and texture edges can effectively eliminates surround textures, and at the same time, enables preservation of smooth contour. In particular, while some contours embedded in cluttered background are destructed due to surround disturbance, our approach can restore them better.