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首页> 外文期刊>International Journal of Engineering Research and Applications >Netra : Object Recognition Model Based on Artificial Sensory Physiology
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Netra : Object Recognition Model Based on Artificial Sensory Physiology

机译:Netra:基于人工感觉生理学的目标识别模型

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摘要

Artificial sensory physiology attempts to deal with creation of artificial systems which are identical to biological beings with respect to sensory data gathering, recognition of information and response. The paper describes a computer procedural model named Netra based on psychological principles, physiology of sensory organs and response of an organism in specific environment. Recognition of an object is done on the basis of classifying the information received by visual sensors and processing the information, using an improvised algorithm which utilizes optimum information required to correctly identify an object. The procedure shows efficiency in process of identification of an object which is attributed to processing of prioritized information.
机译:人工感觉生理学试图处理在感觉数据收集,信息识别和响应方面与生物存在相同的人工系统的创建。本文基于心理原理,感觉器官的生理学以及特定环境中生物体的反应,描述了一种名为Netra的计算机程序模型。物体的识别是在对视觉传感器接收到的信息进行分类并处理该信息的基础上进行的,使用了一种改进算法,该算法利用了正确识别物体所需的最佳信息。该过程显示了归因于优先信息处理的对象识别过程的效率。

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