A Method for Detecting Foreign Objects in Pastries Based on Deep Learning
During the industrial production of pastries, foreign substances such as plastic and rubber can accidentally enter the processing chain, posing serious risks to consumer health and safety. Therefore, detecting foreign substances in pastries is a critical quality control step. X-ray computed tomograp...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Editorial Office of Computerized Tomography Theory and Application
2025-07-01
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| Series: | CT Lilun yu yingyong yanjiu |
| Subjects: | |
| Online Access: | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2025.066 |
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