Automatic exploration and transfer design of associative rules in She Ethnic Clothing Coloration

Ethnic clothing, blending historical and contemporary influences, showcased a complex color artistry, inspiring modern design. In this study, image analysis was applied to dissect the color palette of She ethnic costumes, examining 250 images categorized into upper apparel, lower attire, and accessories. Techniques including color correction, cluster-based color extraction, and an enhanced Apriori algorithm were utilized to analyze color variations across different costume types and to establish definitive Colour combinations. The research revealed only minor differences in color usage among the categories. However, it was noted that binary color pairings in accessories and ternary combinations in lower garments displayed a rich diversity of color schemes. The application of a 0.2 minimum support threshold in the algorithm effectively distinguished regional color patterns. The algorithm's swift processing time of 0.032 s demonstrated its effectiveness in rapidly analyzing complex color relationships.This study deepened the understanding of the intricacies in color aesthetics of ethnic costumes, offering fresh perspectives for innovative design.