Classification of Impressionist and Pointillist paintings based on their brushstrokes characteristics

IF 2.1 3区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ACM Journal on Computing and Cultural Heritage Pub Date : 2024-05-18 DOI:10.1145/3665501
Kristina Georgoulaki
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Abstract

The classification of works of art in terms of artistic style is a complex task. Some painting styles are closely related to the form of their brushstrokes. Salient examples are Pointillism and Impressionism, having both distinguishable brushstrokes characteristics which are small, rounded of clear color, repetitive dots for Pointillism style and visible, elongated and slanting, repetitive touches for Impressionism style. As Impressionism is the ancestral style of Pointillism, the two styles have many elements in common and distinguishing them is difficult. In this paper, specific texture features are investigated for the classification of the two styles, focusing mainly on small differences of their brushstrokes. The texture features adopted are: Granulometric features, Grey level co-occurrence matrix features, and Run length features. It is shown experimentally that Run Length method outperforms the other features and can efficiently (up to 95%) discriminate the two textured styles, since it incorporates information about, size, direction and intensity of brushstrokes.

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根据笔触特点对印象派和点彩派绘画进行分类
按艺术风格对艺术作品进行分类是一项复杂的工作。有些绘画风格与其笔触形式密切相关。突出的例子是点彩派(Pointillism)和印象派(Impressionism),它们都有明显的笔触特征,点彩派的笔触特征是细小、圆润、色彩清晰、重复点画,而印象派的笔触特征是明显、拉长、倾斜、重复点画。由于印象派是点彩派的祖先,因此这两种风格有许多共同点,很难区分。本文主要从笔触的细微差别入手,研究了这两种风格分类的特定纹理特征。采用的纹理特征包括粒度特征、灰度共现矩阵特征和运行长度特征。实验表明,运行长度方法优于其他特征,能有效(高达 95%)区分两种纹理风格,因为它包含了笔触的大小、方向和强度等信息。
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来源期刊
ACM Journal on Computing and Cultural Heritage
ACM Journal on Computing and Cultural Heritage Arts and Humanities-Conservation
CiteScore
4.60
自引率
8.30%
发文量
90
期刊介绍: ACM Journal on Computing and Cultural Heritage (JOCCH) publishes papers of significant and lasting value in all areas relating to the use of information and communication technologies (ICT) in support of Cultural Heritage. The journal encourages the submission of manuscripts that demonstrate innovative use of technology for the discovery, analysis, interpretation and presentation of cultural material, as well as manuscripts that illustrate applications in the Cultural Heritage sector that challenge the computational technologies and suggest new research opportunities in computer science.
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