文章基本信息

标题：Computer-Generated Abstract Paintings Oriented by the Color Composition of Images
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作者：Mao Li ; Jiancheng Lv ; Xiaojie Li 等
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2017
卷号：8
期号：2
页码：68-79
DOI：10.3390/info8020068
出版社：MDPI Publishing
摘要：Designers and artists often require reference images at authoring time. The emergence of computer technology has provided new conditions and possibilities for artistic creation and research. It has also expanded the forms of artistic expression and attracted many artists, designers and computer experts to explore different artistic directions and collaborate with one another. In this paper, we present an efficient k-means-based method to segment the colors of an original picture to analyze the composition ratio of the color information and calculate individual color areas that are associated with their sizes. This information is transformed into regular geometries to reconstruct the colors of the picture to generate abstract images. Furthermore, we designed an application system using the proposed method and generated many works; some artists and designers have used it as an auxiliary tool for art and design creation. The experimental results of datasets demonstrate the effectiveness of our method and can give us inspiration for our work.
关键词：graphics processing; visual aesthetic; abstract painting; algorithm painting graphics processing ; visual aesthetic ; abstract painting ; algorithm painting