摘要
传统服饰图案设计方法对图元参数的进化次数较少,没有达到最优解,导致图形元素合成过程中色彩图元色块合成数值较少。为此,研究基于基因表达式编程的服饰图案设计方法。设计基础图案素材库,对图元元素进行编号,利用基因表达式编程对其进行二进制编程,搜索图元元素的最优空间点,设置进化后的肌理、色彩等参数,然后调控图元参数,使素材图案进行重组、覆盖等变形,得到最终想要设计的服饰图案。将此次设计方法与两种传统方法进行对比实验,设置变化范围为1%~100%的各级色标,改变墨量通道限制,并对样本图案进行邻域合成,结果表明,设计方法合成色块数量要高于两种传统方法,提高了色彩图元密度,增强了设计图案的色彩饱和度。
The traditional clothing pattern design method has less evolution times for the graphic element parameters,and has not reached the optimal solution,which lead to the less color block composition values of color graphic element in the synthesis process of graphic elements.Therefore,the clothing pattern design method based on programming with gene expression is studied.In the study,the basic pattern material library is designed,the elements of the primitives are numbered,binary programming of them is conducted by programming with gene expression,the optimal space points of the graph elements are searched,the parameters of mechanism and color after evolution are set,and then the parameters of the primitives are adjusted,so as to make the material patterns reconstructed,overlaid and so on to get the final design patterns.The contrast experiment between this design method and two traditional methods,in which the color codes at all levels in the range of 1%~100%are set,the ink channel limit is changed,and the sample patterns are synthesized in neighborhood.The results show that the number of color blocks synthesized by the design method is higher than that of the two traditional methods,which improves the density of color primitives and enhances the color saturation of design patterns.
作者
钟静
ZHONG Jing(Xiangsihu College of Guangxi University for Nationalities,Nanning 530008,China)
出处
《现代电子技术》
2021年第10期115-119,共5页
Modern Electronics Technique
基金
国家自然科学基金项目(10462001)。
关键词
服饰图案设计
基因表达式
编程
图案素材库
参数空间点
参数调整
costume pattern design
gene expression
programming
basic pattern
material library
parameter space point
parameter adjustment
