Classification of Fibers by the Appearance Shape Using Deep Learning

DOI

Bibliographic Information

Other Title
  • 深層学習を用いた繊維の外観形状による分類

Abstract

<p>Optical microscopy is one of the methods for fiber identification. It identifies the fiber types based on their shapes which are observed from the optical microscope images. In order to use AI (artificial intelligence) for fiber identification, deep learning was applied to a fiber classification based on the shape of optical microscope images. The microscopic images of the various shapes of fibers were captured at an objective lens magnification of 20x and 40x. These images were then pre-processed into a suitable format. The images were transferred to a pre-trained network Resnet50. From the result of the 40x images, the validation accuracy reached about 97% on a randomly sorted dataset. It validated the performance of deep learning. The high performance was also obtained from the dataset consisting of both 20x and 40x images. Therefore, the images with the different magnifications can be included in the same dataset. It is suggested that the application of deep learning can be applied for textile fiber identification.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390010457708690816
  • DOI
    10.11419/senshoshi.63.4_242
  • ISSN
    18846599
    00372072
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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