Abstract:

The article presents the developed methods of image processing and analysis for measuring circumferences and selected clothing measurement parameters. The paper discusses classic circuit approximation methods using ellipse equations and the proposed superellipse (Lame) method. A vision-based algorithm was presented, which uses spatial markers to measure circumferences and selected clothing parameters. The proposed method was verified on a test stand during experiments and compared with manual measurements. The results of measurements of the circumference, length, and width of selected clothing items were obtained. Statistical estimates characterizing the developed vision measurement system were determined based on the results.