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作 者:巫莹柱 单颖法 黄伯熹[2] 林广茂 梁家豪 张晓利[2] WU Yingzhu;SHAN Yingfa;HUANG Boxi;LIN Guangmao;LIANG Jiahao;ZHANG Xiaoli(School of Textile Materials and Engineering,Wuyi University,Jiangmen,Guangdong 529020,China;Guangdong Inspection and Quarantine Technology Center,Guangzhou,Guangdong 510623,China)
机构地区:[1]五邑大学纺织材料与工程学院,广东江门529020 [2]广东检验检疫技术中心,广东广州510623
出 处:《纺织学报》2018年第9期169-175,共7页Journal of Textile Research
基 金:广东省教育厅特色创新类项目(2016GXJK162;2017KTSCX182);国家标准制修订计划项目(20172272-T-608);广东检验检疫局科技计划项目(2018GDK18);广东省自然科学基金博士启动项目(2014A030310110);江门市科技攻关项目(江科[2016]189号)
摘 要:针对熔融显微投影法无法解决对聚对苯二甲酸丙二醇酯(PTT)纤维和聚对苯二甲酸丁二醇酯(PBT)纤维的智能识别和根数的自动统计技术问题,采用图像处理方法对PTT纤维与PBT纤维混纺纱的显微图像进行前处理,获得较理想的二值化图像;再对二值化图像中各交叉纤维进行智能分离,解决纤维根数自动统计问题;然后提取每根纤维等效直径、色度和纤维伸直度3个特征值;再以200根纤维的3个特征值矩阵为学习样本,建立BP神经网络,以20根纤维作为检验样本。结果显示:该网络对PTT纤维及PBT纤维的识别率高于99%,成功地将混合纤维智能识别;采用该法对1 000根混纺纤维进行处理,并采用熔融显微投影法进行测试,PTT纤维及PBT纤维混纺比为38%及62%或32%及68%,与对应实际混纺比4∶6或3∶7相比,误差在±3%之内。The most effective method to determine polytrimethylene terephthalate(PTT)fiber and polybutylene terephthalate(PBT)fiber blending ratio,the melted micro projection method is difficult to achieve intelligent identification and automatically count number of fibers.To solve this technical problem,the microscopic image of PBT fiber and PTT fiber blended was preprocessed by image processing technology to obtain ideal thresholding images,and PBT and PTT fibers was intelligently separated and automatically counted;then the three feature values of fitness,chromaticity and fiber straightness of each fiber was extracted,and three eigenvalues matrix of 200 fibers were used as learning samples to establish a BP neural network,and twenty fiber were used to verify that.The results show that the recognition rate of PTT fiber and PBT fiber are higher than 99%.The mixed fibers are intelligently identified by this method successfully.The images of 1 000 blended fibers are processed in the same way.The blending ratio of PTT fiber and PBT fiber is calculated by the melted micro projection method to be 38%and 62%or 32%and 68%,respectively.Compared with the corresponding actual blending ratio(40%and 60%or 30%and 70%),the error is within±3%.
关 键 词:图像处理 聚酯纤维识别 纤维分离 BP神经网络 智能化测定
分 类 号:TS101.92[轻工技术与工程—纺织工程]
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