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作 者:辛斌杰[1] 刘岩[2] 林兰天[1] 刘晓霞[1]
机构地区:[1]上海工程技术大学服装学院,上海201620 [2]香港理工大学纺织及制衣学系
出 处:《纺织学报》2011年第3期61-66,共6页Journal of Textile Research
基 金:上海市浦江人才计划资助项目(10PJ1404600);上海市教育委员会科研创新项目资助(11YZ215)
摘 要:传统的纺织工业采用人工目测的方法来评定纺织品的外观质量,存在低效率、易疲劳、主观性等弊端。图像分析技术作为一种现代化客观测试手段,逐步被引入纺织测试领域,推动了纺织品测试的数字化进程。在图像分析基础上,提出纺织品外观质量检验系统的构成与运作模式,包括它的基本硬件配置、软件框架、检验系统基本模式、远程质量检验实现的可能性分析以及集成化的品质管理系统,并比较分析它与传统方法的优缺点。认为人工智能化的纺织品外观质量检验系统是未来纺织工业纺织品外观质量客观检验的发展方向。ubjective evaluation method based on human eyes is still applied in the traditional textile industry to assess the quality of textiles,which has the disadvantages of low efficiency,fatigue and subjective.As a modern means of testing,image analysis technique is introduced and adopted in the textile testing field gradually,contributing to the speeding up of the process of digital textile testing.On the basis of image analysis technology,the concept of visual quality inspection system is presented for the objective evaluation of the textiles appearance,including its hardware configuration,software framework,the basic mode of the inspection system,the possibility analysis of remote quality inspection implementation and the integration of the quality management system.The advantages and disadvantages of both the traditional methods and digital evaluation methods are also analyzed.Artificial intelligent quality inspection system of textile appearance should be the final solution sooner or later.
分 类 号:TS101.923[轻工技术与工程—纺织工程]
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