Application of Digital Image Processing Technology in Textile and Garment Field

Shih, Jhan-Rong

doi:10.1155/2022/7971811

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…In addition, despite image processing technology has been applied to the study of fabric simulation performance, it has not been applied to the overall study of clothing simulation appearance. 14 Based on this, to improve the simulation accuracy of virtual clothing and evaluate and predict the similarity between real and virtual clothing, based on previous studies, proposed herein is a rapid method for evaluating the modeling effect of virtual fitting based on a model involving principal component analysis (PCA) and backpropagation (BP). Used to evaluate woven T-shirts, the model incorporates expert sensory evaluation and quantitative image sensory evaluation, and it optimizes the evaluation index system and index extraction method.…”

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A model for predicting the similarity between real and virtual T-shirts based on sensory evaluation and image quantitative index evaluation

Jiang,

Hao,

Zhang

et al. 2023

Textile Research Journal

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Reported herein is a model for evaluating and predicting the similarity between real clothing and clothing simulated by the virtual fitting software Vidya, the aim being to estimate accurately the similarity between real and virtual clothing. Firstly, we make real T-shirts and virtual T-shirts. According to Kawabata Evaluation System test parameters, 24 kinds of digital fabrics were constructed, and 96 virtual T-shirts were modeled from these digital fabrics. Then, 24 real T-shirts were made from the corresponding fabric. After that, the similarity evaluation indexes of virtual T-shirts and real T-shirts were extracted. Expert evaluation and digital image processing were used to evaluate the visual sense of the images and extract the indices of the evaluation-site images. Finally, the principal component analysis (PCA)-backpropagation (BP) evaluation model was established. Based on PCA, effective evaluation indices for real and virtual T-shirts were selected to construct an evaluation index system of clothing modeling and a BP neural network evaluation model. After repeatedly debugging the number of neurons, the model was optimized with four hidden-layer neurons, and the overall correlation coefficient R of the model reached 0.91075. In this paper, an evaluation index system for real and virtual T-shirts was constructed and, based on the indices, a rapid method for evaluating the virtual fitting modeling effect based on the PCA-BP model was established, which also provides a reference for the whole process of modeling evaluation of other virtual fitting software.

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A model for predicting the similarity between real and virtual T-shirts based on sensory evaluation and image quantitative index evaluation

Jiang,

Hao,

Zhang

et al. 2023

Textile Research Journal

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“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”

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confidence: 99%