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图学学报

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提示笔刷的数字油画画布自动生成

  

  • 出版日期:2015-06-24 发布日期:2015-06-29

Automatic Generation of Digital Oil Painting Canvas with Hinting Brushes

  • Online:2015-06-24 Published:2015-06-29

摘要: 传统的数字油画画布由区域边界线条和指定颜料数字构成,绘画者仅需在每个区域
内部涂上与数字对应的颜料即可完成自己的手绘作品,是一种流传广泛的新艺术形式。然而,这
些画布不仅需要专业人员花费大量时间设计,且无法提示笔刷的方向和大小,影响绘画的效果。
为此,提出一种提示笔刷的自动生成方法,将任意图像转换为数字油画画布的同时,利用方向场
流线合理提示出笔刷的宽度、长度和方向。实验结果表明,该方法生成的数字油画画布线条封闭
光滑,数字清晰可辨,笔刷提示流线对绘画效果有明显的改善。

关键词: 数字油画, 图像聚类, 方向流线, 线条提取, 非真实绘制

Abstract: A traditional digital oil painting canvas consists of lines that represent region boundaries and
digits that represent specified pigments. It becomes a new popular art because amateurish users can
easily draw their own oil painting by brushing provided pigments into each region. However, it costs
professional artists much labor and time to design, and reduces the painting quality due to the lack of
brush hints, such as their orientation and width. In this paper, we propose an automatic generation
method with brush hints. It not only converts an arbitrary image into a digital oil painting canvas, but
also provides effective brush hints on the canvas. Experiments demonstrate the smoothness of boundary
lines, the legibility of color digits and the significant improvement of painting quality contributed by the
hint of brush streamlines.

Key words: digital oil painting, image segmentation, field streamline, line extraction, non-photorealistic
rendering