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Classification and recognition of images of animate and inanimate objects

机译:有生命和无生命物体图像的分类和识别

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The work of an operator in solving two classification problems when working with one image alphabet is studied. From ninety visual stimuli, half of the images contained animate objects, and the other half contained inanimate objects. The first task was to classify the images according to a semantic attribute-whether they contained an animate or inanimate object. This alphabet of stimuli was then subjected to wavelet filtering in a low-and high-spatial-frequency region, regardless of semantic significance. The second task was to classify the stimuli according to a physical attribute-a blurred or unblurred object in the image. Electrophysiological monitoring of the operator's work-recording of the induced visual potentials from the entire surface of the head-made it possible to detect that, from the beginning of the stimulation until the organization of the motor response, parallel processing of the observed signal occurs according to the different semantic and physical attributes. The responses of the temporal and frontal sections of the brain associated with the semantics of the images are distinguished, even under those conditions in which the subject's task was to classify the physical properties of an image of an object. (C) 2015 Optical Society of America.
机译:研究了操作员在使用一个图像字母表时解决两个分类问题的工作。从九十个视觉刺激中,一半的图像包含有生命的物体,另一半包含无生命的物体。第一项任务是根据语义属性对图像进行分类——无论它们是否包含有生命的或无生命的对象。然后,无论语义意义如何,该刺激字母表在低和高空间频率区域进行小波滤波。第二项任务是根据物理属性对刺激进行分类 - 图像中模糊或未模糊的物体。对操作员的工作进行电生理监测 - 记录来自头部整个表面的诱导视觉电位 - 可以检测到,从刺激开始到运动响应的组织,根据不同的语义和物理属性对观察到的信号进行并行处理。与图像语义相关的大脑颞段和额叶部分的反应是有区别的,即使在受试者的任务是对物体图像的物理特性进行分类的条件下也是如此。(C) 2015年美国光学学会。

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