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论微图案与纹理的辨别

On the discrimination of micropatterns and textures.

作者信息

Caelli T, Hübner M, Rentschler I

出版信息

Hum Neurobiol. 1986;5(2):129-36.

PMID:3733475
Abstract

The Perceptron-type of approach of texture perception argues for decomposition of the patterns by detectors or filters which can interact to result in classification of spatial information. We consider a case of texture discrimination where textures composed of discriminable grey-level micropatterns may or may not be distinguished. Two types of models involving linear pattern decomposition are shown to be insufficient for explaining such results. This suggests that observers encode the signals by means of signal dependent or adaptive feature extractors. Such a concept of texture perception is related to connectionist ideas of information processing as pursued by Julesz in his texton theory.

摘要

感知器类型的纹理感知方法主张通过探测器或滤波器对模式进行分解,这些探测器或滤波器可以相互作用以实现空间信息的分类。我们考虑一种纹理辨别情况,其中由可辨别的灰度微模式组成的纹理可能被区分,也可能不被区分。结果表明,两种涉及线性模式分解的模型不足以解释此类结果。这表明观察者通过信号依赖或自适应特征提取器对信号进行编码。这种纹理感知概念与朱尔兹在其纹理子理论中所追求的信息处理的联结主义思想相关。

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引用本文的文献

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Neural computation of inner geometric pattern relations.内部几何图案关系的神经计算
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Similarity between Fourier transforms of objects predicts their experimental confusions.
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