摘要
在服装制版中,将纸质样板转换为制版软件可编辑的数据需要人工在软件中绘出,耗时长、成本高。利用图像处理技术,在图像滤波的基础上,利用改进的canny算法对服装样板的轮廓进行快速提取,再对样板轮廓进行骨架提取细化并优化轮廓。该过程的实现可以大大地提高实际生产中服装制版改版的效率。
In clothing plate making,converting the paper pattern into the data which plate making software can edit requires manual plotting in the software,which can be time-consuming and costly.By using image processing technology and based on the image filtering,the improved Canny algorithm was used to rapidly extract the outline of the garment pattern and the outline was further refined and optimized.The realization of the process could greatly improve the efficiency of the revision of the clothing plate making in the real production.
作者
周佳
宗雅倩
刘其思
徐平华
桑振聪
ZHOU Jia;ZONG Ya-qian;LIU Qi-si;XU Ping-hua;SANG Zhen-cong(School of Textile and Clothing,Nantong University,Nantong 226019;Xinglin College,Nantong University,Nantong 226019)
出处
《纺织科学与工程学报》
CAS
2018年第4期133-136,157,共5页
Journal of Textile Science & Engineering
基金
南通大学自然科学类科研基金(13180036)
南通大学纺织服装学院教改课题(FZFZ201402)
江苏省大学生实践创新训练项目(201610304051Z)
关键词
服装样板
边缘分割
骨架提取
轮廓优化
garment pattern
edge segmentation
skeleton extraction
outline optimization
作者简介
周佳(1997-),女,硕士研究生,研究方向:纺织品服装数字化检测。
