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含疵服装样片的提取与匹配算法研究 被引量:1

Research on algorithm of sample extraction and matching with defects
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摘要 为了提高服装加工过程中验布环节的自动化程度,结合服装自动打版软件DOCAD和拓扑学原理,找出服装样片中疵点标识和样片的拓扑关系,并对疵点标识和样片的关系进行分析和归类总结,分别建立疵点标识与样片的拓扑关系交集矩阵模型,以该模型为匹配模板研究疵点标识与样片的匹配算法。以牛仔布为实验对象,构建模拟铺布系统和验布系统的实验台,通过图像采集分析处理流程,结合机器视觉软件算法,实现验布环节疵点标识与服装样片的匹配,从而定位含疵样片并提取。实验表明,该方法可以实现服装加工验布环节中疵点标识与样片的匹配定位。 In order to improve the automation of cloth inspection in the process of garment processing, by combining with the automatic pattern making software DOCAD and topology principle, the relationship between the defect mark and the topology of the garment sample was finds out, the relationship between defect mark and sample was analyzed and summarized, and the intersection matrix model of topological relationship between defect mark and sample was established. The model was used as the matching template to study the matching algorithm between defects mark and sample pieces. The denim used in enterprises was set as the experimental object, the experimental platform of simulation cloth laying system and cloth inspection system was constructed. Through the flow of image collection, analysis and processing, etc. , the defect mark of fabric inspection and clothing sample was realized by combining with the algorithm of machine vision software. It was proved by experiments that the method can realize the matching of defect mark and sample in fabric inspection in garment processing.
作者 尚会超 靳玮 SHANG Huichao;JIN Wei(College of Mechanical and Electrical Engineering,Zhongyuan University of Technology,Zhengzhou,Henan 451100,China)
出处 《毛纺科技》 CAS 北大核心 2018年第8期79-85,共7页 Wool Textile Journal
基金 河南省科技攻关项目(142102210085 142102210524)
关键词 服装样片 拓扑学 自动化 匹配定位 fashion plate topology automation matching location
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