Computer-generated abstract paintings oriented by the color composition of images

被引：4

作者：

Li M. ^{[1
]}

Lv J. ^{[1
]}

Li X. ^{[2
]}

Yin J. ^{[1
]}

机构：

[1] Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu

[2] College of Computer Science, Chengdu University of Information Technology, Chengdu

来源：

Lv, Jiancheng (lvjiancheng@scu.edu.cn) | 2017年 / MDPI AG卷 / 08期

基金：

美国国家科学基金会; 中国国家自然科学基金;

关键词：

Abstract painting; Algorithm painting; Graphics processing; Visual aesthetic;

D O I：

10.3390/info8020068

中图分类号：

O43 [光学]; T [工业技术];

学科分类号：

070207 ; 08 ; 0803 ;

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. © 2017 by the authors.

引用

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