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首页> 外文期刊>Vision Research: An International Journal in Visual Science >High entropy of edge orientations characterizes visual artworks from diverse cultural backgrounds
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High entropy of edge orientations characterizes visual artworks from diverse cultural backgrounds

机译:边缘方向的高熵是来自不同文化背景的视觉艺术品

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摘要

We asked whether "good composition" or "visual rightness" of artworks manifest themselves in a particular arrangement of basic image features, such as oriented luminance edges. Specifically, we analysed the layout of edge orientations in images from a collection of >1600 paintings of Western provenance by comparing pairwise the orientation of each edge in an image with the orientations of all other edges in the same image. From the resulting orientation histograms, we calculated Shannon entropy and parallelism (i.e., the degree to which lines are parallel in the image). For comparison, we analysed the same second-order image properties in photographs of diverse natural patterns and man-made objects and scenes. Results showed that Shannon entropy of relative orientations of edge pairs was high and parallelism was low for the paintings and some of the natural patterns, but differed from other sets of photographs, including other man-made stimuli. The differences were also observed when images were matched for image content. Moreover, high entropy of edge orientations was found in traditional artworks produced by different techniques, in artworks that represented different content matter and art genres, as well as in artworks from other cultural backgrounds (East Asian and Islamic). In conclusion, we found that high entropy of edge orientations characterizes diverse sets of traditional artworks from various cultural backgrounds. (C) 2017 Elsevier Ltd. All rights reserved.
机译:我们询问艺术品的“良好的构图”或“视觉权力”在基本图像特征的特定排列中表现出本身,例如定向亮度边缘。具体地,我们通过比较在图像中的每个边缘中的每个边缘的方向与相同图像中的所有其他边缘的方向进行比较,分析了来自Western Sencel的绘画的收集中的图像的边缘取向的布局。从得到的取向直方图中,我们计算了Shannon熵和并行性(即,在图像中平行的程度)。为了比较,我们在不同自然模式和人造物体和场景的照片中分析了相同的二阶图像属性。结果表明,边缘对的相对取向的香农熵高,并行度对于绘画和一些自然模式较低,但与其他一组照片不同,包括其他人为刺激。当图像匹配以进行图像内容时,还观察到差异。此外,在不同技术生产的传统艺术品中发现了高熵的边缘方向,在代表不同的内容和艺术类型的作品中,以及其他文化背景(东亚和伊斯兰)的艺术品。总之,我们发现边缘方向的高熵是来自各种文化背景的各种传统艺术品集合。 (c)2017 Elsevier Ltd.保留所有权利。

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