安塞民间绘画色彩网络模型构建研究

Research on the construction of Ansai folk painting color network model

为了更准确地探究和反映安塞民间绘画的色彩设计思维,为当下设计提供更具中国特色、民族特色的参考和启发,文章以安塞民间绘画为研究对象,开展了数字化网络模型构建工作研究。首先利用K-means聚类算法进行图像色彩聚类计算,获得色彩网络节点和节点的局部贡献度;然后,通过专家评价法构建节点贡献度效率矩阵,并将其与节点局部贡献度计算相结合,获得节点的全局贡献度,实现基础色彩网络的优化和色彩模型的构建;最终,随机抽取案例样本对所构建模型的可靠性进行了验证。所提出的新型色彩网络模型综合考虑了节点贡献度,能够实现对色彩网络节点度计算方法的优化。案例验证表明,色彩网络模型能够准确反映安塞民间绘画的色彩特征和配色设计逻辑。

In order to more accurately explore and reflect the color design thinking of Ansai folk painting,and provide the reference and enlightenment for current design with more Chinese characteristics and national characteristics,this paper takes Ansai folk painting as the object of study to investigate the construction of a digital network model.First of all,K-means clustering algorithm was used to calculate image color clustering and gain color network nodes and local contribution degree.Then,the expert evaluation method was applied to construct the contribution efficiency matrix of nodes,and it was combined with calculation of local contribution of nodes to obtain the global contribution degree of nodes and achieve basic color network optimization and color model construction.At last,case samples were chosen at random to verify reliability of the model.The new color network model which considers the contribution degree of nodes can optimize the calculation method of node degree of color network.The result of case verification shows that the color network model can accurately reflect the color characteristics and color matching design logic of Ansai folk painting.