Abstract
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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Tang, Q., Sang, N., Zhang, T. (2005). A Neural Network Model for Extraction of Salient Contours. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_51
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DOI: https://doi.org/10.1007/11427445_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25913-8
Online ISBN: 978-3-540-32067-8
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