Textures vs Non-Textures: A Simple Computational Method for Classifying Perceived 'Texturality' in Natural Images.
Textures vs Non-Textures: A Simple Computational Method for Classifying Perceived 'Texturality' in Natural Images.
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纹理与非纹理：一个简单的计算方法分类感知的“纹理”在自然图像。
DOI：
10.1177/20416695211054540
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发表时间：
2021-09
期刊：
影响因子：
1.9
通讯作者：
Motoyoshi I
中科院分区：
文献类型：
--
作者：
Kurosawa F;Orima T;Okada K;Motoyoshi I
视觉系统将纹理图像区域表示为简单的统计数据，这对于快速感知场景和表面是有用的。然而，到目前为止，什么是图像的“纹理”大多是主观定义的。本研究探讨了自然图像作为纹理处理的经验条件。我们首先展示了“纹理性”-即，图像是否被感知为纹理与原始图像及其Portilla-Simoncelli（PS）合成图像之间的感知相似性密切相关。我们发现，这两个判断是高度相关的特定PS统计的图像。我们还表明，判别模型的基础上的一个小的图像统计数据集可以区分是否一个给定的图像被认为是一个纹理超过90%的准确率。结果提供了一种方法，以确定是否一个给定的图像区域是由人类视觉系统统计表示。
The visual system represents textural image regions as simple statistics that are useful for the rapid perception of scenes and surfaces. What images ‘textures’ are, however, has so far mostly been subjectively defined. The present study investigated the empirical conditions under which natural images are processed as texture. We first show that ‘texturality’ – i.e., whether or not an image is perceived as a texture – is strongly correlated with the perceived similarity between an original image and its Portilla-Simoncelli (PS) synthesized image. We found that both judgments are highly correlated with specific PS statistics of the image. We also demonstrate that a discriminant model based on a small set of image statistics could discriminate whether a given image was perceived as a texture with over 90% accuracy. The results provide a method to determine whether a given image region is represented statistically by the human visual system.
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