Ko, D., Kang, S., Kim, H., Lee, W., Bae, Y., & Park, J. (2021). Anomaly Segmentation Based on Depth Image for Quality Inspection Processes in Tire Manufacturing. Applied Sciences (2076-3417), 11(21), 10376. https://doi.org/10.3390/app112110376
Chicago Style (17th ed.) CitationKo, Dongbeom, Sungjoo Kang, Hyunsuk Kim, Wongok Lee, Yousuk Bae, and Jeongmin Park. "Anomaly Segmentation Based on Depth Image for Quality Inspection Processes in Tire Manufacturing." Applied Sciences (2076-3417) 11, no. 21 (2021): 10376. https://doi.org/10.3390/app112110376.
MLA (9th ed.) CitationKo, Dongbeom, et al. "Anomaly Segmentation Based on Depth Image for Quality Inspection Processes in Tire Manufacturing." Applied Sciences (2076-3417), vol. 11, no. 21, 2021, p. 10376, https://doi.org/10.3390/app112110376.