基于感知驱动的纹饰矢量图评价方法

针对构建中华文化矢量素材库过程中如何评价矢量图质量优劣的问题,提出精确性、连续性和简单性三大视觉评价指标,并进行了量化分析. 首先,对矢量图进行解析,获取矢量图的文档对象模型,遍历文档树得到矢量信息;然后,结合格式塔心理学对矢量图的视觉误差、曲线连续性和纹饰图案的复杂度进行量化;最后,提出一种基于感知驱动的传统纹饰矢量图的评价方法. 结合视觉上的启发性规则,所提评价方法可提供3个量化指标用于多任务驱动矢量化系统中矢量图的自动评价、排序和筛选. 在纹饰矢量图数据集上对算法进行了仿真实验,结果表明,对矢量图的评价结果符合主流设计的视觉审美和期望.

Evaluation Method of Traditional Pattern Vector Diagram Based on Perception Drive

Aiming at the question of how to evaluate the quality of vector materials in the construction of the Chinese cultural vector material library, three visual evaluation indicators of accuracy, continuity and simplicity are proposed and quantitatively analyzed. First, the vector diagram is analyzed to obtain the document object model of the vector diagram, and the document tree is traversed to obtain the vector information. Then, by combining the Gestalt psychology, the visual error, curve continuity, and complexity of the decorative pattern of the vector diagramis quantified. Finally, an evaluation method based on perception-driven traditional pattern vector diagrams is proposed. The proposed algorithm provides three quantitative indicators that can be used for automatic evaluation, sorting and screening of vector diagrams in a multitask-driven vectorization system. Simulation results on the texture vector data set show that the evaluation results of the vector graphics meet the visual aesthetics and expectations of mainstream designs.