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Volume 31 Issue 7
Dec.  2010
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Du Xiao-feng, Li Cui-hua, Li Jing. Contour Detection Based on Compound Receptive Field[J]. Journal of Electronics & Information Technology, 2009, 31(7): 1630-1634. doi: 10.3724/SP.J.1146.2008.01164
Citation: Du Xiao-feng, Li Cui-hua, Li Jing. Contour Detection Based on Compound Receptive Field[J]. Journal of Electronics & Information Technology, 2009, 31(7): 1630-1634. doi: 10.3724/SP.J.1146.2008.01164

Contour Detection Based on Compound Receptive Field

doi: 10.3724/SP.J.1146.2008.01164
  • Received Date: 2008-09-16
  • Rev Recd Date: 2009-03-12
  • Publish Date: 2009-07-19
  • Contour detection from natural scenes is a tough task in computer vision. This paper proposes a visual model of contour detection based on compound receptive field. By inducing dis-inhibition mechanism to traditional model that was based on inhibition mechanism, inferences are suppressed while weak edges are preserved, so that the integrity of contour is improved. Experiment results show that this approach can suppress edges due to texture, protect object contour and improve the performance of contour detection from nature scene.
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