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一种用于人工视觉弥补的计算成像模型及其评价

DOI: 10.11834/jig.2006010248

Keywords: 人工视觉,像素化视觉,显著性特征,主观评价实验

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Abstract:

本文基于正在起步的人工视觉技术,在人工视觉成像模型研究以及模拟评价实验开展的基础上,提出一种基于显著性局部特征生成的像素化成像模型,并设计主观评价打分模拟实验来考察这一模型的性能.实验结果初步证实,这一模型能够向受试者优先呈现原始图像中的特征显著区域,因而使受试者主观感受到更加丰富的视觉信息.从而,该模型能够为这一新兴领域的发展提供参考.

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