基于灰色关联分析法和CGM模型的唐代长沙窑纹样提取研究

Research on Pattern Extraction of Tang Dynasty Changsha Kiln Based on Grey Relational Analysis and CGM Model

针对传统纹样创新设计中纹样因子与用户感性需求耦合性欠佳的问题,提出一种基于灰色关联分析法的用户纹样意象偏好优选模型。首先梳理分析目标纹样,运用Canny算法对纹样进行边缘的检测与提取,初步构建纹样样本库;在此基础上引入语义差异法获得用户对文物的感性意象评价数据,利用灰色关联分析法建立感性意象与纹样因子之间的优选决策模型,确定关键性设计元素,并以CGM模型为依据开展设计衍生;最后通过设计实例验证研究的可行性。结合灰色关联分析法构建的纹样因子评价模型,有助于实现纹样客观提取与现代产品设计转译,拓展以用户为导向的传统纹样创新设计新途径。

Addressing the weak coupling between pattern factors and user emotional needs in traditional pattern innovation,this paper proposes a user pattern image preference optimization model based on grey relational analysis.It first organizes the target pattern,employs the Canny algorithm for edge detection and extraction,and constructs a preliminary pattern sample library.Semantic difference analysis is then used to obtain user evaluations of the cultural artifact’s sensory image,and grey relational analysis establishes an optimal decision model between sensory images and pattern factors,identifying key design elements and expanding design derivation based on the CGM model.The feasibility of the approach is validated through design examples.This model facilitates objective pattern extraction and modern product design translation,opening new user-oriented avenues for innovative traditional pattern design.