Abstract
The evaluation method of yarn surface quality currently in use is mainly based on manual inspection. In order to resolve the inherent limitations of the human visual inspection, an intelligent evaluation system has been developed for the objective and automatic evaluation of yarn surface quality with computer vision and artificial intelligence. In this system, all yarn surface features are fully digitalized and quantitatively processed to ensure an objective evaluation of yarn surface appearance. This digital system integrates and controls the whole progress of yarn surface analysis, including the image acquisition, digital feature extraction, characteristic parameter computation and yarn quality classification, in one computer program with an interactive and friendly user interface. Besides yarn quality classification, multiple yarn surface characteristics, such as yarn diameter irregularities, yarn fault areas, foreign matters and fuzziness, can also be quantitatively obtained and visibly displayed.
Original language | English |
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Title of host publication | Proceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012 |
Pages | 472-476 |
Number of pages | 5 |
Volume | 1 |
Publication status | Published - 1 Dec 2012 |
Event | 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012 - Las Vegas, NV, United States Duration: 16 Jul 2012 → 19 Jul 2012 |
Conference
Conference | 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012 |
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Country/Territory | United States |
City | Las Vegas, NV |
Period | 16/07/12 → 19/07/12 |
Keywords
- Artificial neural network
- Image processing
- Intelligent system
- Yarn evaluation
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition