基于迁移学习的棉/毛纤维自动识别方法  

Automatic identification method of cotton/wool fibers based on transfer learning

作　　者：游小荣[1] 李淑芳[1,2] YOU Xiaorong;LI Shufang(Changzhou Vocational Institute of Textile and Garment,Changzhou,Jiangsu 213164,China;Changzhou Key Laboratory of Eco-Textile Technology,Changzhou,Jiangsu 213164,China)

机构地区：[1]常州纺织服装职业技术学院,江苏常州213164 [2]常州市生态纺织技术重点实验室,江苏常州213164

出　　处：《毛纺科技》2024年第6期83-88,共6页Wool Textile Journal

基　　金：江苏省高等学校大学生实践创新训练项目(202112807013Y);江苏省碳纤维先进材料智能制造工程技术研究开发中心项目(苏教科[2023]11号)。

摘　　要：针对纺织品废料中织物纤维手工分类存在效率低、主观性强等问题,提出了一种小样本条件下纺织品废料中棉/毛纤维的自动识别方法。首先使用扫描电子显微镜,对已有的棉/毛纤维进行拍照,形成小样本棉/毛纤维图像集;然后分别加载4种经ImageNet数据集训练过的模型进行迁移学习,保留或部分微调模型的网络参数,并基于小样本图像集进行训练和验证,生成棉/毛纤维的分类模型;最后基于准确率、精确率和召回率评价指标,对各种分类模型进行对比测试,选出最优分类模型,实现棉/毛纤维的自动识别。经过实验发现ResNetXt50模型在模型训练过程中取得了最高的精确率,其值为97.33%。对测试集进行测试,结果显示通过微调后的4种分类模型中,ResNet50和ResNetXt50的测试准确率可达99.537%,验证了方法的有效性。Aiming at the problems of low efficiency and strong subjectivity in manual classification of textile fibers,an automatic identification method for cotton and wool fibers in textile wastes under the condition of small samples was proposed.Firstly,scanning electron microscope was used to photograph the existing cotton fiber and form a small sample of cotton fiber image set.Then,four kinds of models trained by ImageNet data set were loaded for transfer learning,network parameters of the models were retained or partially fine-tuned,and the classification model was generated based on the small sample image set for training and verification.Finally,based on the evaluation indexes of accuracy,accuracy and recall rate,various classification models were compared and tested,and the optimal classification model was selected to realize the automatic recognition of cotton fiber.The experimental results show that the ResNetXt50 model achieves the highest accuracy rate in the process of model training,and its value is 97.33%.The test set is tested,and the results show that the test accuracy of ResNet50 and ResNetXt50 can reach 99.537%among the four kinds of classification models after fine-tuning,which verifies the effectiveness of the method.

关 键 词：纺织品废料 小样本 迁移学习 预训练模型 图像识别 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TS102.3[自动化与计算机技术—计算机科学与技术]