Yan Zhao, Huanhuan Zhang, Junfeng Jing, Pengfei Li. Yarn Defects Detection Algorithm Combined with Spatial Fuzzy C-Means Clustering[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410014
- Laser & Optoelectronics Progress
- Vol. 58, Issue 4, 0410014 (2021)
Fig. 1. Types of the yarn defects
Fig. 2. Examples of the yarn defects
Fig. 3. Flow chart of our algorithm for detecting yarn defects
Fig. 4. Processing results obtained with different parameters. (a) p=1, q=0; (b) p=1, q=1; (c) p=0, q=2
Fig. 5. Process of yarn image processing. (a) Original yarn; (b) processing result of clustering algorithm
Fig. 6. Processing result of the morphological open operation
Fig. 7. Flow chart of the yarn defects detection
Fig. 8. Yarn defects detected by our algorithm
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Table 1. Average diameter and theoretical diameter of the yarn
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Table 2. Yarn defects detection results of different spatial parameters and visual inspection methods
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Table 3. Results of yarn defects detected by different algorithms
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