Research on Pattern Extraction of Tang Dynasty Changsha Kiln Based on Grey Relational Analysis and CGM Model
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.
万方数据
维普
