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24 November 2021 New method of melt pool edge detection based on mathematical morphology and active contour model
Jun Ling, Zhenying Xu, Ziqian Wu, Qiling Li, Mengyu Tang, Jinjin Yan
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Proceedings Volume 12060, AOPC 2021: Advanced Laser Technology and Applications; 120601A (2021) https://doi.org/10.1117/12.2606716
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China
Abstract
In the laser cladding process, there are a large number of interference factors such as arc light, metal droplets, powder splash, etc., which makes it difficult to extract the edge of the melt pool. Aiming at the problem that it is difficult to extract the edge of melt pool accurately, a method of edge detection of melt pool based on mathematical morphology and Chan-Vese active contour model is proposed in this paper. After median filtering, the binary image of the melt pool is obtained by threshold segmentation. The initial contour of the melt pool is obtained by mathematical morphology connected domain labeling algorithm. On this basis, the connected region contour is taken as the initial contour, and the Chan Vese active contour model is used to extract the edge of the melt pool. The experimental results show that this method can achieve accurate extraction of melt pool edge, and has good anti-interference performance, which provides a good foundation for subsequent melt pool feature extraction and target recognition.
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Jun Ling, Zhenying Xu, Ziqian Wu, Qiling Li, Mengyu Tang, and Jinjin Yan "New method of melt pool edge detection based on mathematical morphology and active contour model", Proc. SPIE 12060, AOPC 2021: Advanced Laser Technology and Applications, 120601A (24 November 2021); https://doi.org/10.1117/12.2606716
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KEYWORDS
Image segmentation
Cladding
Image processing
Edge detection
Mathematical morphology
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