动态连接权的目标搜索神经网络模型
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R318.18 TP18

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国家自然科学基金,高等学校博士学科专项科研基金


NEURAL NETWORK MODEL WITH DYNAMIC WEIGHTS FOR OBJECT SEARCHING
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    摘要:

    提出一种基于初级视觉皮层的图像目标搜索模型,该模型只采用方位选择性细胞和皮层内有限范围水平连接等V1 基本单元,以链码表示的目标轮廓作为知识,允许该知识以时间脉冲形式控制V1 区内神经细胞的动态活动,和网络中的动态连接权相配合,使与知识轮廓形状相符合的轮廓内细胞逐步进入并维持在兴奋状态,最终实现对视野中特定目标轮廓的提取

    Abstract:

    A new model based on the structure of V1 area in the biological visual system was presented for image searching. The model only uses the known V1 elements, such as orientation selective cells and horizontal intra cortical connections. The knowledge, which will control the dynamic of the neurons, is represented by the chain code of the object's contour. The chain code is presented to the neural network in timing pulse form. By cooperating with the dynamic weights, only the neurons of the contour according with the object contour will reach the active state and stay there. Finally the contour that conforms to the knowledge contour emerges in the visual area, and the object is located.

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引用本文

余波 张立明.动态连接权的目标搜索神经网络模型[J].红外与毫米波学报,1999,18(5):363~368]. YU Bo, ZHANG Li-Ming. NEURAL NETWORK MODEL WITH DYNAMIC WEIGHTS FOR OBJECT SEARCHING[J]. J. Infrared Millim. Waves,1999,18(5):363~368.]

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