Research Article
Application of Computer Vision in T-Shirt Dimensions Measurement
@ARTICLE{10.4108/eetinis.v9i31.707, author={Ngoc-Bich Le and Thi-Thu-Hien Pham and Quoc-Hung Phan and Narayan C. Debnath and Ngoc-Huan Le}, title={Application of Computer Vision in T-Shirt Dimensions Measurement}, journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems}, volume={9}, number={31}, publisher={EAI}, journal_a={INIS}, year={2022}, month={4}, keywords={T-Shirt, Auto-dimensioning, computer vision, metrology automation, intelligent system}, doi={10.4108/eetinis.v9i31.707} }- Ngoc-Bich Le
Thi-Thu-Hien Pham
Quoc-Hung Phan
Narayan C. Debnath
Ngoc-Huan Le
Year: 2022
Application of Computer Vision in T-Shirt Dimensions Measurement
INIS
EAI
DOI: 10.4108/eetinis.v9i31.707
Abstract
This paper presents a solution to automatically measure the T-shirt dimensions in the garment industry. To address this goal, the paper focuses on utilizing image processing to determine the T-shirt's dimensions. The processing algorithm was provided along with the proposed recognition regions novel approach that was expected to deliver faster processing speed and enhance accuracy. The feasibility was demonstrated by characterizing the accuracy and processing speed. Specifically, five distinctive dimensions were successfully identified and measured; with the replication of 30, the discrepancy varies from 0.095% (for chest) to 2.088% (for collar). The divergence is insignificant compared with the granted tolerances. Finally, the processing time and the mechanical structure of the system deliver productivity of 22 products/minute which is approximately 10 times more rapidly than manual measurement (25 seconds).
Copyright © 2022 Ngoc-Bich Le et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.