色粉画是一种极具表现力的绘画方式。提出一种基于参考图像色粉画效果模拟的非真实感绘制方法,其模拟过程分为铺底和细化两个阶段。在铺底阶段,利用mean-shift分割方法对参考图像进行分割获得区域和色调信息,并通过矢量场计算确定所得区域内笔画方向,在上述信息约束下通过对色粉画线画法以及侧面画法的模拟完成铺底工作;在细化阶段,针对参考图像所需突出的重要特征细节利用一致线条绘制方法获取,并通过色粉画点画法对其进行模拟。实验结果表明,通过上述两个阶段的模拟,本文方法能够快速高效的将参考图像转化为色粉画艺术化效果。

Pastel painting is a very expressive way of painting.This paper presents a non-photorealistic rendering method for pastel-simulation based on input images.The simulation is carried out in two stages,namely foundation-laying and refinement.In the foundation-laying stage,the input image is segmented by a mean-shift segmentation method to obtain regions and their colors.The vector field is calculated within the regions to determine the direction of strokes.Controlled by the above information,the foundation-laying stage is completed by simulating line-rendering and side-rendering techniques.In the refinement stage,prominent features are located in the reference image using the coherent line drawing method,and simulated with stipple-rendering in the pastel.Experiment results demonstrate that the two-stage process proposed in this paper transfers reference images quickly and efficiently into their pastel simulations.