Advanced Textile Technology ›› 2022, Vol. 30 ›› Issue (2): 191-196.DOI: 10.19398/j.att.202103018

• Apparel Engineering • Previous Articles     Next Articles

Extraction of minimum units of four-consecutive patternbased on adaptive template matching

LONG Ying1a, LÜ Yexin1a,2, GUO Ziyi1a, HUANG Zhenhua1a, ZOU Fengyuan1a,1b,1c   

  1. 1a. School of Fashion Design & Engineering; 1b. Key Laboratory of Silk Culture Heritage andProducts Design Digital Technology, Ministry of Culture and Tourism; 1c. Zhejiang Provincial ResearchCenter of Clothing Engineering Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China
    2. College of Creative Arts, Jinhua Polytechnic, Jinhua 321000, China
  • Received:2021-03-11 Online:2022-03-10 Published:2021-07-08

基于自适应模板匹配的四方连续花型最小单元提取

龙颖1a, 吕叶馨1a,2, 郭子翊1a, 黄振华1a, 邹奉元1a,1b,1c   

  1. 1.浙江理工大学,a.服装学院,b.丝绸文化传承与产品设计数字化技术文化和旅游部重点实验室,c.浙江省服装工程技术研究中心,杭州 310018
    2.金华职业技术学院艺术创意学院,浙江金华 321000
  • 作者简介:龙颖(1996-),男,湖南岳阳人,硕士研究生,主要从事服装数字化技术方面的研究。
  • 基金资助:
    浙江省教育厅项目(Y201942686)

Abstract:

In order to realize the automatic extraction of minimum units of concatenated and overlapped four-consecutive patterns, this article iterated on the ratio of side length of rectangular template and investigated its impact on global template matching. The vertical vector method was adopted to analyze the center point set of the rectangle obtained from matching. The correspondence between the repetition law of pixels and the minimum unit was revealed. The accuracy of extraction results was measured by similarity mean, and the relationship between repetition times of minimum unit and similarity mean was clarified. By analyzing the applicability of template matching, an adaptive threshold template matching method was put forward. The average similarity can reach 94.29% after improvement. The results show that this method can effectively achieve the extraction of minimum units of concatenated and overlapped four-consecutive patterns.

Key words: extraction of minimum units, adaptive template matching, four-consecutive pattern, similarity matching, histogram similarity

摘要:

为实现连缀式及重叠式四方连续花型最小单元的自动提取,对矩形模板边长占比进行迭代,探究了矩形模板大小对全局模板匹配的影响,再利用垂直矢量法分析了匹配所得矩形的中心点点集,揭示出像元重复规律与最小单元的对应关系;以相似度均值度量提取结果的准确性,阐明了最小单元重复次数与相似度均值的关系;通过分析模板匹配的适用性,提出了自适应阈值模板匹配的方法,改进后相似度均值平均可达94.29%。结果表明,该方法能有效实现连缀式及重叠式四方连续花型最小单元的提取。

关键词: 最小单元提取, 自适应模板匹配, 四方连续花型, 相似性匹配, 直方图相似度

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