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蓝印花布纹样建模与重构
引用本文:陶晨,段亚峰,徐蓉蓉,杨剑平,周赳. 蓝印花布纹样建模与重构[J]. 纺织学报, 2019, 40(3): 153-159. DOI: 10.13475/j.fzxb.20180300508
作者姓名:陶晨  段亚峰  徐蓉蓉  杨剑平  周赳
作者单位:1.绍兴文理学院 纺织服装学院, 浙江 绍兴 3120002.浙江理工大学 材料与纺织学院、丝绸学院, 浙江 杭州 310018
基金项目:浙江省哲学社会科学规划课题(19NDJC128YB)
摘    要:为解决蓝印花布纹样数字化创新设计的模型化问题,基于基数样条曲线构建蓝印花布纹样元素模型,利用张力系数表达形状的刚柔性,通过节点配置实现形状的凹凸性和多样性,并讨论了通过模型的泛化来表达更加复杂的纹样元素。使用轮廓跟踪技术提取图像中的纹样元素,利用Hu矩不变性选取最接近的模型实例,并根据重心、面积和重合度对选取的模型实例进行变换,将其应用到纹样空间,完成纹样的数字化重构。然后通过映射函数对数字化纹样进行参数映射来创造新纹样,将元素模型应用到纹样骨架进行骨架的改造,从而实现更突出的纹样创新。结果表明,该实验方案在蓝印花布纹样建模、重构方面具有良好的精度和效率,在纹样创新方面具有丰富的创造性。

关 键 词:蓝印花布  纹样  模型  重构  样条  
收稿时间:2018-03-01

Modeling and reconstruction of blue calico patterns
TAO Chen,DUAN Yafeng,XU Rongrong,YANG Jianping,ZHOU Jiu. Modeling and reconstruction of blue calico patterns[J]. Journal of Textile Research, 2019, 40(3): 153-159. DOI: 10.13475/j.fzxb.20180300508
Authors:TAO Chen  DUAN Yafeng  XU Rongrong  YANG Jianping  ZHOU Jiu
Affiliation:1. College of Textile and Garment, Shaoxing University, Shaoxing, Zhejiang 312000, China2. Silk Institute, College of Materials and Textiles, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
Abstract:Aiming at the modeling in digitalized innovation of blue calico patterns, a model for structuring blue calico elements was proposed based on cardinal splines, in which the rigidity of shape was expressed by the tension coefficient, and the concavity and variety were realized by configuration of the knots. Also the expressing of more complex elements by generalization of the model was discussed. The contour tracing technique was employed to extract pattern elements from the images, and the closest model instance was found out based on invariance of the Hu moments, then the model instances were transformed respecting to gravity, acreage and coincidence to meet the pattern elements so as to achieve digitalization of the whole pattern. The mapping function was introduced to create new patterns by filtering the model parameters, and the element model was applied to the pattern skeleton to modify it and bring about more outstanding innovations. The results show that the proposed methods have fine accuracy and efficiency in modeling and reconstruction as well as rich creativity in blue calico pattern innovation.
Keywords:blue calico  pattern  model  reconstruction  spline  
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