Abstract
In this paper, an analysis of drape characteristics of textile waste derived from their 2D colour digital images was made. There have been proposed algorithms and procedures for obtaining 3D shapes of real drape. The description of the drape characteristics of fabrics was made by a total of 17 features. The advantages of the proposed methods and tools are that they don't need complicated calculation methods or a lot of time to measure and obtain a three-dimensional model. A predictive model was created from the obtained data for automated prediction of the drape coefficient of textile waste. The proposed methods and procedures can be applied in the analysis of fabric drape on video files obtained after exposure of the textile fabrics at different airflow rates.
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