Abstract
Assessing the smoothness appearance of fabrics, especially in three-dimensional forms, is vital for quality control. Existing methods often lack objectivity or fail to consider the full 3D structure of the fabric. In this study, we introduce an innovative system that harnesses point cloud data to overcome these limitations. We use a 3D scanning system to capture a multi-directional point cloud representation of the textile surface. The data undergoes stitching and filtering to obtain an optimized point cloud model for feature extraction. We propose the 3D and 2D alpha-shape area ratio as a novel feature parameter for determining surface smoothness. Validation was conducted with 730 point clouds from 146 fabric samples, achieving an impressive 95.81%, recognition accuracy, which aligns with expert subjective evaluations. This research not only presents a dependable method for 3D textile smoothness grading but also indicates its applicability in other industries where surface evaluation is pivotal.
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Data availibility statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Code Availability
The code that support the findings of this study are available from the corresponding author upon reasonable request.
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Acknowledgements
The authors would like to thank all the referees for providing helpful comments and suggestions. Their insight and comments led to a better presentation of the ideas expressed in this paper.
Funding
This work was supported by the National Natural Science Foundation of China (Grant No. 61876106) and Shanghai Local Capacity-Building Project (Grant No. 19030501200).
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Zhijie Yuan: Conceptualization, Methodology, Software, Writing- Original draft preparation, Visualization, Investigation, Validation. Binjie Xin: Conceptualization, Supervision, Funding acquisition, Project administration. Jing Zhang: Data curation and Writing- Reviewing and Editing. Yingqi Xu: Data curation and Writing- Reviewing and Editing.
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Yuan, Z., Xin, B., Zhang, J. et al. Three-dimensional fabric smoothness evaluation using point cloud data for enhanced quality control. J Intell Manuf (2024). https://doi.org/10.1007/s10845-024-02367-6
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DOI: https://doi.org/10.1007/s10845-024-02367-6