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Anomaly Segmentation Based on Depth Image for Quality Inspection Processes in Tire Manufacturing.

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Title: Anomaly Segmentation Based on Depth Image for Quality Inspection Processes in Tire Manufacturing.
Authors: Ko, Dongbeom1, dbko112@etri.re.kr, Kang, Sungjoo1, sjkang@etri.re.kr, Kim, Hyunsuk2, ultrayo@naver.com, Lee, Wongok2, wongok99@kpu.ac.kr, Bae, Yousuk2, ysbae@kpu.ac.kr, Park, Jeongmin2, jmpark@kpu.ac.kr
Source: Applied Sciences (2076-3417); Nov2021, Vol. 11 Issue 21, p10376, 18p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Anomaly Segmentation Based on Depth Image for Quality Inspection Processes in Tire Manufacturing.
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        Value: 10.3390/app112110376
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        Text: English
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      – TitleFull: Anomaly Segmentation Based on Depth Image for Quality Inspection Processes in Tire Manufacturing.
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              M: 11
              Text: Nov2021
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              Y: 2021
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