Identification of overlapped wool/cashmere fibers based on multi-focus image fusion and convolutional neural network
Identification of cashmere and wool fibers has always been one of the essential topics in the field of textile. To solve this problem, this paper proposes anew overlapped fiber recognition method based on multi-focus image fusion and convolutional neural network. Firstly, the images of wool and cash...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-12-01
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| Series: | Journal of Natural Fibers |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/15440478.2021.1932669 |
| _version_ | 1797680057433456640 |
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| author | Liran Zang Binjie Xin Na Deng |
| author_facet | Liran Zang Binjie Xin Na Deng |
| author_sort | Liran Zang |
| collection | DOAJ |
| description | Identification of cashmere and wool fibers has always been one of the essential topics in the field of textile. To solve this problem, this paper proposes anew overlapped fiber recognition method based on multi-focus image fusion and convolutional neural network. Firstly, the images of wool and cashmere fibers were captured by an optical microscope and adigital camera. Secondly, the fiber images with clear features were acquired by the multi-focus image fusion method. Then, image preprocessing operations were used to obtain single fiber images. Finally, the features of overlapped fibers are extracted and classified by the classical convolutional neural network. The results show that when the ratio of the training set to the test set is 8:2, the recognition accuracy of the method proposed in this paper reaches the highest of 98.7%, which can be used to realize the fast and accurate identification of overlapped fibers. |
| first_indexed | 2024-03-11T23:24:12Z |
| format | Article |
| id | doaj.art-d511ddffce0c4c6f84ade9231c18441f |
| institution | Directory Open Access Journal |
| issn | 1544-0478 1544-046X |
| language | English |
| last_indexed | 2024-03-11T23:24:12Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Natural Fibers |
| spelling | doaj.art-d511ddffce0c4c6f84ade9231c18441f2023-09-20T13:04:28ZengTaylor & Francis GroupJournal of Natural Fibers1544-04781544-046X2022-12-0119136715672610.1080/15440478.2021.19326691932669Identification of overlapped wool/cashmere fibers based on multi-focus image fusion and convolutional neural networkLiran Zang0Binjie Xin1Na Deng2Shanghai University of Engineering ScienceShanghai University of Engineering ScienceShanghai University of Engineering ScienceIdentification of cashmere and wool fibers has always been one of the essential topics in the field of textile. To solve this problem, this paper proposes anew overlapped fiber recognition method based on multi-focus image fusion and convolutional neural network. Firstly, the images of wool and cashmere fibers were captured by an optical microscope and adigital camera. Secondly, the fiber images with clear features were acquired by the multi-focus image fusion method. Then, image preprocessing operations were used to obtain single fiber images. Finally, the features of overlapped fibers are extracted and classified by the classical convolutional neural network. The results show that when the ratio of the training set to the test set is 8:2, the recognition accuracy of the method proposed in this paper reaches the highest of 98.7%, which can be used to realize the fast and accurate identification of overlapped fibers.http://dx.doi.org/10.1080/15440478.2021.1932669overlapped fibermulti-focus image fusionwoolcashmereconvolutional neural networkfiber identification |
| spellingShingle | Liran Zang Binjie Xin Na Deng Identification of overlapped wool/cashmere fibers based on multi-focus image fusion and convolutional neural network Journal of Natural Fibers overlapped fiber multi-focus image fusion wool cashmere convolutional neural network fiber identification |
| title | Identification of overlapped wool/cashmere fibers based on multi-focus image fusion and convolutional neural network |
| title_full | Identification of overlapped wool/cashmere fibers based on multi-focus image fusion and convolutional neural network |
| title_fullStr | Identification of overlapped wool/cashmere fibers based on multi-focus image fusion and convolutional neural network |
| title_full_unstemmed | Identification of overlapped wool/cashmere fibers based on multi-focus image fusion and convolutional neural network |
| title_short | Identification of overlapped wool/cashmere fibers based on multi-focus image fusion and convolutional neural network |
| title_sort | identification of overlapped wool cashmere fibers based on multi focus image fusion and convolutional neural network |
| topic | overlapped fiber multi-focus image fusion wool cashmere convolutional neural network fiber identification |
| url | http://dx.doi.org/10.1080/15440478.2021.1932669 |
| work_keys_str_mv | AT liranzang identificationofoverlappedwoolcashmerefibersbasedonmultifocusimagefusionandconvolutionalneuralnetwork AT binjiexin identificationofoverlappedwoolcashmerefibersbasedonmultifocusimagefusionandconvolutionalneuralnetwork AT nadeng identificationofoverlappedwoolcashmerefibersbasedonmultifocusimagefusionandconvolutionalneuralnetwork |