In this work, the extraction of significant features of Persian carpet patterns was studied. Four aesthetic related features were extracted for a collection of Persian carpet images. To this purpose, a set of 134 color images of three different categories of traditional Persian designs, named “Afshan,” “Lachak Toranj,” and “Torkaman” were collected. At first, the PHOG (Pyramid of Histogram of Orientation Gradients) measure was derived for all patterns to calculate complexity, anisotropy, self‐similarity, and Birkhoff‐like features. Based on the results, anisotropy and Birkhoff‐like features significantly categorize three carpet designs. According to the results, the combination of anisotropy and Birkhoff‐like features increases the accuracy of classification of samples to 97%.

中文翻译：

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基于定量美学相关特征的波斯地毯图案分类

在这项工作中，研究了波斯地毯图案重要特征的提取。提取了四个与美学相关的特征，以收集波斯地毯图像。为此，收集了一组134张彩色图像，这些图像分别是三个不同类别的传统波斯设计，分别为“ Afshan”，“ Lachak Toranj”和“ Torkaman”。首先，针对所有模式导出PHOG（定向梯度直方图金字塔）度量，以计算复杂性，各向异性，自相似性和Birkhoff类特征。根据结果​​，各向异性和类似伯克霍夫的特征将三种地毯设计显着分类。根据结果​​，各向异性和类Birkhoff特征的组合将样品分类的准确性提高到97％。