基于多子区策略的丝绸图像匹配算法  

Silk image matching algorithm based on multiple sub-region strategy

作　　者：吕文涛[1] 刘志伟 王成群 周迪 马廷芳 徐伟强[2] Lü Wentao;LIU Zhiwei;WANG Chengqun;ZHOU Di;MA Tingfang;XU Weiqiang(School of Information Science and Technology,Zhejiang Sci-Tech University,Hangzhou 310018,China;College of Textile Science and Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China;Zhejiang Uniview Technologies Co.,Ltd.,Hangzhou 310018,China;WENSLI Group Co.,Ltd.,Hangzhou 310018,China)

机构地区：[1]浙江理工大学信息学院,杭州310018 [2]浙江理工大学纺织科学与工程学院,杭州310018 [3]浙江宇视科技有限公司,杭州310018 [4]万事利集团有限公司,杭州310018

出　　处：《丝绸》2022年第3期1-6,共6页Journal of Silk

基　　金：国家自然科学基金项目(U1709219,61601410);浙江省科技厅重点研发计划项目(2021C01047);东北大学流程工业综合自动化国家重点实验室联合基金项目(2021-KF-21-03,2021-KF-21-06)。

摘　　要：印花是丝绸生产工艺中重要一环,基于图像的匹配技术可用于检验丝绸的印花质量。本文提出了一种基于多子区策略的丝绸彩色图像和矢量模板图匹配算法,并采用边缘信息作为丝绸彩色图像和矢量图的共性特征,解决了两种图像灰度不一致的问题。对预处理后的丝绸彩色图像提取图像边缘,选取边缘信息完整的区域作为待匹配子区,采用改进的Hausdorff距离矩阵作为最终的相似度准则。该算法可以获取较高的匹配正确率,基于真实丝绸场景数据的实验结果,证明了所提方法的有效性。Silk textile industry is an important part of China’s light industry system,occupying a pivotal position in the national economy.The production and export scale of silk products is among the top in the global market.With the comprehensive promotion of"Made in China 2025",the combination of silk product manufacturing and industrialized intelligent detection has become the important means and development trend to improve product quality and reduce production costs.The matching method based on computer vision technology is an important means in the field of silk pattern printing.In the actual production environment,due to such factors as the position and angle of the light source,the flatness of the silk when placed and the shooting angle of the camera,the quality of the acquired silk images varies,thereby greatly influencing the final matching results.When handling silk patterns with complex backgrounds,the existing matching algorithm is not satisfactory in terms of the real-time and accuracy rate,making it unapplicable to the matching of silk images.There are three reasons.Firstly,the silk patterns are complicated and the backgrounds are complex.Secondly,it is difficult to directly apply pixel-based matching technique to the matching of template vector images,and thirdly,real-scenario silk pattern matching sets higher requirements for real-time and accuracy.In this paper,a matching algorithm for silk color images and vector template images based on multiple sub-region strategy was proposed,solving the grayscale inconsistency problem of the two images with edge information as the common feature of silk color images and vector images.Firstly,the angle of the image to be matched was adjusted by affine transformation to eliminate the angle difference with the vector template images to improve the matching efficiency.The edges of the pre-processed silk color images were extracted using Canny algorithm,the continuous edge density matrix of the edge pattern was calculated,the region with complete edge information was s

关 键 词：丝绸图像 矢量图像 多子区匹配 HAUSDORFF距离 相似性度量 

分 类 号：TS101.1[轻工技术与工程—纺织工程]