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| Contour Detection Based on Compound Receptive Field |
| Du Xiao-feng①; Li Cui-hua②; Li Jing③ |
| ①Department of Automation, Xiamen University, Xiamen 361005, China;②Department of Computer Science, Xiamen University, Xiamen 361005, China;③School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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Abstract 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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Received: 16 September 2008
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2009, Vol. 31 
