... to objectively evaluate fabric pilling grades. Results of the experiment indicate that the proposed objective evaluation method can obtain clear and complete pilling information and the classification accuracy rate of the deep learning algorithm is 94.2%, whose structures are rectified linear unit (ReLU...

... of the referees. The calculation tool was designed as web‐based software in order to integrate with further developments and automation purposes. Originality/value A new automatic tool was developed to make the body shape classification objective and repeatable. By integrating this tool to the product...

... in the order of waistline (G13) > armhole (2×G7) > bust dart (2×G5). Body regions Classification Women Gaussian processes Measuring body shapes and clarifying their statistical features are fundamental for producing good quality garments at lower production costs. The sizes...

...S. Convery; T. Lunney; A. Hashim; M. McGinnity Presents an overview of automated fabric flaw detection immediately after the knitting process. Considers the classification of fabric flaws and how image processing techniques can be applied to their classification, via an introductory example...