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《China Mechanical Engineering》 2008-17
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A Method Based on Visual Attention in Tool Detection

Dou Yan Kong Lingfu Yanshan University,Qinhuangdao,Hebei,066004  
To solve the problem of target detection,which is appeared in the visual guide robot processing system,the human visual selective attention mechanism was introduced into the machine vision system.A computational model of visual selective attention based on the contour was proposed.It realized the testing goal by using a strategy of separating object,extracting edge,perceiving contour,competing in the saliency of contour,choosing and transferring attention focus.Experimental results indicate that the model can be attained to the accuracy of target detection in complex scenes,possesses a strong anti-jamming capability and high computing efficiency,which has a potential of using in the machine vision system directly.
【Fund】: 国家863高技术研究发展计划资助项目(2006AA04Z212)
【CateGory Index】: TP391.41
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